AQMon: A Fine-grained Air Quality Monitoring System Based on UAV Images for Smart Cities
Air quality monitoring is important to the green development of smart cities. Several technical challenges exist for intelligent, high-precision monitoring, such as computing overhead, area division, and monitoring granularity. In this article, we propose a fine-grained air quality monitoring system...
Saved in:
| Published in | ACM transactions on sensor networks Vol. 20; no. 2; pp. 1 - 20 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York, NY
ACM
19.01.2024
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 1550-4859 1550-4867 |
| DOI | 10.1145/3638766 |
Cover
| Abstract | Air quality monitoring is important to the green development of smart cities. Several technical challenges exist for intelligent, high-precision monitoring, such as computing overhead, area division, and monitoring granularity. In this article, we propose a fine-grained air quality monitoring system based on visual inspection analysis embedded in unmanned aerial vehicle (UAV), referred to as AQMon. This system employs a lightweight neural network to obtain an accurate estimate of atmospheric transmittance in visual information while reducing computation and transmission overhead. Considering that air quality is affected by multiple factors, we design a dynamic fitting approach to model the relationship between scattering coefficients and PM2.5 concentration in real time. The proposed system is evaluated using public datasets and the results show that AQMon outperforms four existing methods with a processing time of 13.8 ms. |
|---|---|
| AbstractList | Air quality monitoring is important to the green development of smart cities. Several technical challenges exist for intelligent, high-precision monitoring, such as computing overhead, area division, and monitoring granularity. In this article, we propose a fine-grained air quality monitoring system based on visual inspection analysis embedded in unmanned aerial vehicle (UAV), referred to as AQMon . This system employs a lightweight neural network to obtain an accurate estimate of atmospheric transmittance in visual information while reducing computation and transmission overhead. Considering that air quality is affected by multiple factors, we design a dynamic fitting approach to model the relationship between scattering coefficients and PM2.5 concentration in real time. The proposed system is evaluated using public datasets and the results show that AQMon outperforms four existing methods with a processing time of 13.8 ms. |
| ArticleNumber | 43 |
| Author | Liu, Guoqing Yang, Jiadi Wu, Chase Q. Li, Kang Xing, Tianzhang Xia, Shuangqing |
| Author_xml | – sequence: 1 givenname: Shuangqing orcidid: 0000-0002-2793-1441 surname: Xia fullname: Xia, Shuangqing email: xiashuangqing@stumail.nwu.edu.cn organization: School of Information Science and Technology, Northwest University, China, Shaanxi International Joint Research Centre for the Battery-Free Internet of Things, China, and Xi’an Advanced Battery-Free Sensing and Computing Technology International Science and Technology Cooperation Base, China – sequence: 2 givenname: Tianzhang orcidid: 0000-0001-7526-7269 surname: Xing fullname: Xing, Tianzhang email: xtz@nwu.edu.cn organization: School of Information Science and Technology, Northwest University, China, Shaanxi International Joint Research Centre for the Battery-Free Internet of Things, China, and Xi’an Advanced Battery-Free Sensing and Computing Technology International Science and Technology Cooperation Base, China – sequence: 3 givenname: Chase Q. orcidid: 0000-0002-8218-1209 surname: Wu fullname: Wu, Chase Q. email: chase.wu@njit.edu organization: Department of Computer Science, New Jersey Institute of Technology, America – sequence: 4 givenname: Guoqing orcidid: 0000-0003-4110-7616 surname: Liu fullname: Liu, Guoqing email: lgqing@stumail.nwu.edu.cn organization: School of Information Science and Technology, Northwest University, China – sequence: 5 givenname: Jiadi orcidid: 0009-0008-5896-5821 surname: Yang fullname: Yang, Jiadi email: yjd@stumail.nwu.edu.cn organization: School of Information Science and Technology, Northwest University, China – sequence: 6 givenname: Kang orcidid: 0000-0001-6218-5715 surname: Li fullname: Li, Kang email: likang@nwu.edu.cn organization: School of Information Science and Technology, Northwest University, China |
| BookMark | eNptkMFLwzAYxYNMcJvi3VNunqpJ0zSJtzqcDiYy5sRbSZtkRNZEknjof29lcwfx9D54Pz7eexMwct5pAC4xusG4oLekJJyV5QkYY0pRVvCSjY43FWdgEuMHQoQUBI3Be7V69u4OVnBunc62QQ6iYGUDXH3JnU09HHybfLBuC9d9TLqD9zIOjHdwU73BRSe3OkLjA1x3MiQ4s8nqeA5OjdxFfXHQKdjMH15nT9ny5XExq5aZzIsiZSbHXAolBCIKM6Yw5pxKLBlpacmQENLovGmMwJxiIxhRDec5QZg0SiptyBRk-79t8DEGberWJpmsd2nosqsxqn9mqQ-zDPz1H_4z2CF3_w95tSdl2x2hX_Mbl_5pzw |
| CitedBy_id | crossref_primary_10_1007_s10668_024_05695_y |
| Cites_doi | 10.1109/ROBIO.2014.7090535 10.1109/LSP.2012.2199980 10.1109/TIM.2018.2886091 10.1109/ICIP.2017.8297023 10.1016/1352-2310(94)00340-Q 10.1109/ICInfA.2017.8079022 10.1088/0031-9112/28/11/025 10.26599/TST.2021.9010033 10.1177/0278364915620033 10.1145/3351270 10.1109/ICIP.2018.8451306 10.1109/ACCESS.2019.2945805 10.1109/INFOCOM.2018.8485933 10.1021/acs.est.5b01236 10.1109/JIOT.2020.3004582 10.1016/j.adhoc.2018.11.010 10.1109/AERO.2009.4839344 10.1038/s41467-021-26348-y 10.1145/3440248 10.1109/JIOT.2020.3021006 10.1109/LSP.2014.2314487 10.1109/TIP.2015.2446191 10.1007/s41095-021-0235-7 10.3390/s22155477 10.1109/TPAMI.2015.2389824 10.1109/TIE.2018.2840515 10.5244/C.2.23 10.1016/j.envsoft.2004.07.009 10.1145/2808492.2808564 10.1109/TIP.2016.2598681 10.1109/TNNLS.2017.2649101 10.1007/s13181-011-0203-1 10.1109/ICME.2017.8019508 10.1016/j.jaerosci.2004.04.004 10.1109/IDAACS53288.2021.9660995 10.1145/2964284.2967230 10.1016/j.envpol.2014.11.028 10.1109/CVPR.2009.5206515 10.1109/CVPR.2008.4587643 10.1007/978-3-319-10602-1_48 10.1109/ASONAM.2014.6921638 10.26599/BDMA.2018.9020025 10.1080/00022470.1975.10470141 10.1109/INFCOMW.2015.7179456 10.5194/acp-17-9485-2017 10.1145/3351270 10.1145/3440248 10.1080/10473289.1991.10466903 10.1145/2964284.2967230 |
| ContentType | Journal Article |
| Copyright | Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from |
| Copyright_xml | – notice: Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from |
| DBID | AAYXX CITATION |
| DOI | 10.1145/3638766 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | CrossRef |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| DocumentTitleAlternate | AQMon: A Fine-Grained Air Quality Monitoring System |
| EISSN | 1550-4867 |
| EndPage | 20 |
| ExternalDocumentID | 10_1145_3638766 3638766 |
| GrantInformation_xml | – fundername: Key Research and Development Program of Shaanxi Province grantid: No. 2019GY215 and No. 2021ZDLSF06-04 – fundername: NSFC grantid: 62372374 – fundername: National Key R&D Program of China grantid: 2019YFC1521102 |
| GroupedDBID | -DZ .4S .DC 23M 4.4 5GY 5VS 8US AAKMM AALFJ AAYFX ABPPZ ACGFO ACM ADBCU ADL ADMLS ADPZR AEBYY AEGXH AENEX AENSD AFWIH AFWXC AIAGR AIKLT ALMA_UNASSIGNED_HOLDINGS ARCSS ASPBG AVWKF BDXCO CCLIF CS3 D0L EBS EDO FEDTE GUFHI HGAVV H~9 I07 LHSKQ P1C P2P RNS ROL TUS W7O ZCA AAYXX AEFXT AEJOY AKRVB CITATION |
| ID | FETCH-LOGICAL-a244t-f218a9d9903d177d11885a1a73c567099afe2bbf91851f973db8823013bdadef3 |
| ISSN | 1550-4859 |
| IngestDate | Thu Jul 03 08:39:36 EDT 2025 Thu Apr 24 22:50:20 EDT 2025 Fri Feb 21 01:12:38 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Keywords | Smart air detection system mobile devices computer vision |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-a244t-f218a9d9903d177d11885a1a73c567099afe2bbf91851f973db8823013bdadef3 |
| ORCID | 0000-0001-7526-7269 0000-0003-4110-7616 0000-0001-6218-5715 0000-0002-8218-1209 0009-0008-5896-5821 0000-0002-2793-1441 |
| PageCount | 20 |
| ParticipantIDs | crossref_citationtrail_10_1145_3638766 crossref_primary_10_1145_3638766 acm_primary_3638766 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-01-19 |
| PublicationDateYYYYMMDD | 2024-01-19 |
| PublicationDate_xml | – month: 01 year: 2024 text: 2024-01-19 day: 19 |
| PublicationDecade | 2020 |
| PublicationPlace | New York, NY |
| PublicationPlace_xml | – name: New York, NY |
| PublicationTitle | ACM transactions on sensor networks |
| PublicationTitleAbbrev | ACM TOSN |
| PublicationYear | 2024 |
| Publisher | ACM |
| Publisher_xml | – name: ACM |
| References | (Bib0030) 2020; 8 (Bib0012) 2015; 197 (Bib0052) 2015; 24 (Bib0020) 2011; 33 (Bib0014) 2019; 86 (Bib0023) 2021; 2 (Bib0010) 2016; 25 (Bib0019) 2004; 35 (Bib0028) 2010; 30 (Bib0033) 1977; 28 Bib0022 (Bib0036) 2021; 12 (Bib0017) 2018; 29 (Bib0025) 2017 (Bib0050) 2019; 68 (Bib0046) 2022 (Bib0032) 2014 (Bib0002) 2012; 8 (Bib0048) 2019; 3 (Bib0024) 2015 (Bib0003) 2015; 49 (Bib0005) 2014; 21 (Bib0044) 2019; 7 (Bib0004) 2018; 1 (Bib0016) 2019; 66 (Bib0039) 2022; 27 (Bib0043) 2021; 17 (Bib0008) 2006; 21 (Bib0007) 2018 (Bib0018) 1988; 15 (Bib0031) 1995; 29 (Bib0013) 2020; 8 (Bib0027) 2011; 16 (Bib0042) 2012; 19 (Bib0015) 2022; 8 Bib0001 (Bib0011) 2017 (Bib0026) 2014 (Bib0035) 1975; 25 (Bib0045) 2022 (Bib0047) 2009 (Bib0037) 1991; 41 (Bib0038) 1998; 1326 (Bib0040) 2008 (Bib0009) 2016; 35 (Bib0034) 2014 (Bib0029) 2015 (Bib0041) 2017; 17 (Bib0021) 2015; 37 (Bib0049) 2018 (Bib0006) 2017 (Bib0051) 2016 Zhang Chao (e_1_3_1_52_2) 2016 Bo Qirong (e_1_3_1_8_2) 2018 e_1_3_1_43_2 e_1_3_1_22_2 e_1_3_1_45_2 e_1_3_1_20_2 e_1_3_1_4_2 e_1_3_1_6_2 Chakma Avijoy (e_1_3_1_12_2) 2017 Liu Xiaoyang (e_1_3_1_30_2) 2015 e_1_3_1_47_2 e_1_3_1_2_2 Liu Panwei (e_1_3_1_29_2) 2010; 30 e_1_3_1_49_2 Seinfeld John H. (e_1_3_1_39_2) 1998; 1326 Mai Jiaming (e_1_3_1_33_2) 2014 e_1_3_1_32_2 Mei Shike (e_1_3_1_35_2) 2014 Li Hua (e_1_3_1_24_2) 2021; 2 e_1_3_1_34_2 e_1_3_1_13_2 e_1_3_1_51_2 Tan Robby T. (e_1_3_1_41_2) 2008 e_1_3_1_11_2 e_1_3_1_53_2 e_1_3_1_17_2 e_1_3_1_15_2 Li Yuncheng (e_1_3_1_25_2) 2015 Liu Haoting (e_1_3_1_28_2) 2011; 16 e_1_3_1_36_2 Bare Bahetiyaer (e_1_3_1_7_2) 2017 Wong Chow Jeng (e_1_3_1_48_2) 2009 Patashnick Harvey (e_1_3_1_38_2) 1991; 41 e_1_3_1_21_2 Li Yaoqing (e_1_3_1_26_2) 2017 e_1_3_1_44_2 e_1_3_1_23_2 e_1_3_1_46_2 e_1_3_1_40_2 e_1_3_1_9_2 e_1_3_1_42_2 e_1_3_1_3_2 e_1_3_1_5_2 Lin Tsung-Yi (e_1_3_1_27_2) 2014 Xiao Ning (e_1_3_1_50_2) 2018 Harris Chris (e_1_3_1_19_2) 1988; 15 e_1_3_1_10_2 e_1_3_1_31_2 e_1_3_1_16_2 e_1_3_1_14_2 e_1_3_1_37_2 e_1_3_1_18_2 |
| References_xml | – start-page: 1433 year: 2014 end-page: 1438 ident: Bib0032 article-title: Back propagation neural network dehazing publication-title: Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO ’14) doi: 10.1109/ROBIO.2014.7090535 – volume: 19 start-page: 423 issue: 7 year: 2012 end-page: 426 ident: Bib0042 article-title: A fast wavelet-based algorithm for global and local image sharpness estimation publication-title: IEEE Sign. Process. Lett. doi: 10.1109/LSP.2012.2199980 – volume: 68 start-page: 3962 issue: 10 year: 2019 end-page: 3971 ident: Bib0050 article-title: Effective and efficient photo-based PM2.5 concentration estimation publication-title: IEEE Trans. Instrum. Meas. doi: 10.1109/TIM.2018.2886091 – start-page: 3949 year: 2017 end-page: 3952 ident: Bib0011 article-title: Image-based air quality analysis using deep convolutional neural network publication-title: Proceedings of the IEEE International Conference on Image Processing (ICIP ’17) doi: 10.1109/ICIP.2017.8297023 – volume: 29 start-page: 751 issue: 7 year: 1995 end-page: 766 ident: Bib0031 article-title: Sensitivity of estimated light extinction coefficients to model assumptions and measurement errors publication-title: Atmos. Environ. doi: 10.1016/1352-2310(94)00340-Q – start-page: 853 year: 2017 end-page: 857 ident: Bib0025 article-title: Evaluation of realistic blurring image quality by using a shallow convolutional neural network publication-title: Proceedings of the IEEE International Conference on Information and Automation (ICIA ’17) doi: 10.1109/ICInfA.2017.8079022 – volume: 30 start-page: 907 issue: 7 year: 2010 end-page: 913 ident: Bib0028 article-title: Optimization of site locations of regional air quality monitoring network: methodology study publication-title: China Environ. Sci. – volume: 28 issue: 11 year: 1977 ident: Bib0033 article-title: Optics of the atmosphere: Scattering by molecules and particles publication-title: Phys. Bull. doi: 10.1088/0031-9112/28/11/025 – volume: 27 start-page: 948 issue: 6 year: 2022 end-page: 963 ident: Bib0039 article-title: Observation-driven multiple UAV coordinated standoff target tracking based on model predictive control publication-title: Tsinghua Sci. Technol. doi: 10.26599/TST.2021.9010033 – volume: 35 start-page: 1157 issue: 10 year: 2016 end-page: 1163 ident: Bib0009 article-title: The EuRoC micro aerial vehicle datasets publication-title: Int. J. Robot. Res. doi: 10.1177/0278364915620033 – volume: 3 start-page: 1 issue: 3 year: 2019 end-page: 23 ident: Bib0048 article-title: MilliBack: Real-time plug-n-play millimeter level tracking using wireless backscattering publication-title: Proc. ACM Interact. Mobile Wear. Ubiq. Technol. doi: 10.1145/3351270 – start-page: 3433 year: 2018 end-page: 3437 ident: Bib0007 article-title: Particle pollution estimation from images using convolutional neural network and weather features publication-title: Proceedings of the 25th IEEE International Conference on Image Processing (ICIP ’18) doi: 10.1109/ICIP.2018.8451306 – volume: 7 start-page: 145067 year: 2019 end-page: 145081 ident: Bib0044 article-title: Air quality measurement based on double-channel convolutional neural network ensemble learning publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2945805 – start-page: 2024 year: 2018 end-page: 2032 ident: Bib0049 article-title: Motion-Fi: Recognizing and counting repetitive motions with passive wireless backscattering publication-title: IEEE Conference on Computer Communications (INFOCOM ’18) doi: 10.1109/INFOCOM.2018.8485933 – volume: 49 start-page: 8057 issue: 13 year: 2015 end-page: 8066 ident: Bib0003 article-title: Addressing global mortality from ambient PM2. 5 publication-title: Environ. Sci. Technol. doi: 10.1021/acs.est.5b01236 – volume: 8 start-page: 428 issue: 1 year: 2020 end-page: 442 ident: Bib0013 article-title: AQ360: UAV-aided air quality monitoring by 360-degree aerial panoramic images in urban areas publication-title: IEEE IoT J. doi: 10.1109/JIOT.2020.3004582 – volume: 86 start-page: 72 year: 2019 end-page: 82 ident: Bib0014 article-title: Security in networks of unmanned aerial vehicles for surveillance with an agent-based approach inspired by the principles of blockchain publication-title: Ad Hoc Netw. doi: 10.1016/j.adhoc.2018.11.010 – start-page: 1 year: 2009 end-page: 7 ident: Bib0047 article-title: Determination of aerosol concentration using an internet protocol camera publication-title: Proceedings of the IEEE Aerospace Conference doi: 10.1109/AERO.2009.4839344 – year: 2022 ident: Bib0045 – volume: 12 start-page: 1 issue: 1 year: 2021 end-page: 12 ident: Bib0036 article-title: Consumption in the G20 nations causes particulate air pollution resulting in two million premature deaths annually publication-title: Nature Commun. doi: 10.1038/s41467-021-26348-y – volume: 17 start-page: 1 issue: 2 year: 2021 end-page: 29 ident: Bib0043 article-title: CoHop: Quantitative correlation-based channel hopping for low-power wireless networks publication-title: ACM Trans. Sens. Netw. doi: 10.1145/3440248 – volume: 8 start-page: 9827 issue: 12 year: 2020 end-page: 9837 ident: Bib0030 article-title: Federated learning in the sky: Aerial-ground air quality sensing framework with UAV swarms publication-title: IEEE IoT J. doi: 10.1109/JIOT.2020.3021006 – volume: 21 start-page: 751 issue: 6 year: 2014 end-page: 755 ident: Bib0005 article-title: A fast approach for no-reference image sharpness assessment based on maximum local variation publication-title: IEEE Sign. Process. Lett. doi: 10.1109/LSP.2014.2314487 – volume: 24 start-page: 3522 issue: 11 year: 2015 end-page: 3533 ident: Bib0052 article-title: A fast single image haze removal algorithm using color attenuation prior publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2015.2446191 – volume: 8 start-page: 165 issue: 1 year: 2022 end-page: 175 ident: Bib0015 article-title: Erroneous pixel prediction for semantic image segmentation publication-title: Comput. Vis. Media doi: 10.1007/s41095-021-0235-7 – ident: Bib0022 doi: 10.3390/s22155477 – volume: 37 start-page: 1904 issue: 9 year: 2015 end-page: 1916 ident: Bib0021 article-title: Spatial pyramid pooling in deep convolutional networks for visual recognition publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2015.2389824 – year: 2022 ident: Bib0046 – volume: 66 start-page: 3176 issue: 4 year: 2019 end-page: 3184 ident: Bib0016 article-title: Highly efficient picture-based prediction of PM2.5 concentration publication-title: IEEE Trans. Industr. Electr. doi: 10.1109/TIE.2018.2840515 – volume: 15 start-page: 10 year: 1988 end-page: 5244 ident: Bib0018 article-title: A combined corner and edge detector publication-title: Alvey Vision Conference doi: 10.5244/C.2.23 – volume: 21 start-page: 461 issue: 4 year: 2006 end-page: 467 ident: Bib0008 article-title: How urban structure can affect city sustainability from an air quality perspective publication-title: Environ. Model. Softw. doi: 10.1016/j.envsoft.2004.07.009 – start-page: 1 year: 2015 end-page: 5 ident: Bib0024 article-title: Using user generated online photos to estimate and monitor air pollution in major cities publication-title: Proceedings of the 7th International Conference on Internet Multimedia Computing and Service doi: 10.1145/2808492.2808564 – volume: 25 start-page: 5187 issue: 11 year: 2016 end-page: 5198 ident: Bib0010 article-title: Dehazenet: An end-to-end system for single image haze removal publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2016.2598681 – volume: 29 start-page: 1301 issue: 4 year: 2018 end-page: 1313 ident: Bib0017 article-title: Learning a no-reference quality assessment model of enhanced images with big data publication-title: IEEE Trans. Neural Netw. Learn. Syst. doi: 10.1109/TNNLS.2017.2649101 – volume: 8 start-page: 166 issue: 2 year: 2012 end-page: 175 ident: Bib0002 article-title: Clearing the air: A review of the effects of particulate matter air pollution on human health publication-title: J. Med. Toxicol. doi: 10.1007/s13181-011-0203-1 – start-page: 1356 year: 2017 end-page: 1361 ident: Bib0006 article-title: An accurate deep convolutional neural networks model for no-reference image quality assessment publication-title: Proceedings of the IEEE International Conference on Multimedia and Expo (ICME ’17) doi: 10.1109/ICME.2017.8019508 – volume: 35 start-page: 1135 issue: 9 year: 2004 end-page: 1149 ident: Bib0019 article-title: On the equivalence of gravimetric PM data with TEOM and beta-attenuation measurements publication-title: J. Aerosol Sci. doi: 10.1016/j.jaerosci.2004.04.004 – volume: 2 start-page: 610 year: 2021 end-page: 615 ident: Bib0023 article-title: Indoor positioning model based on support vector regression optimized by the sparrow search algorithm publication-title: Proceedings of the 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS ’21) doi: 10.1109/IDAACS53288.2021.9660995 – start-page: 297 year: 2016 end-page: 301 ident: Bib0051 article-title: On estimating air pollution from photos using convolutional neural network publication-title: Proceedings of the 24th ACM International Conference on Multimedia doi: 10.1145/2964284.2967230 – volume: 197 start-page: 68 year: 2015 end-page: 75 ident: Bib0012 article-title: Humidity plays an important role in the PM2. 5 pollution in Beijing publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2014.11.028 – volume: 1326 year: 1998 ident: Bib0038 article-title: From air pollution to climate change publication-title: Atmos. Chem. Phys. – volume: 33 start-page: 2341 issue: 12 year: 2011 end-page: 2353 ident: Bib0020 article-title: Single image haze removal using dark channel prior publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/CVPR.2009.5206515 – volume: 16 start-page: 1030 year: 2011 end-page: 1037 ident: Bib0027 article-title: The evaluation of air quality using image quality publication-title: Chin. J. Image Graph – ident: Bib0001 – volume: 41 start-page: 1079 issue: 8 year: 1991 end-page: 1083 ident: Bib0037 article-title: Continuous PM-10 measurements using the tapered element oscillating microbalance publication-title: J. Air Waste Manage. Assoc. – start-page: 1 year: 2008 end-page: 8 ident: Bib0040 article-title: Visibility in bad weather from a single image publication-title: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition doi: 10.1109/CVPR.2008.4587643 – start-page: 740 year: 2014 end-page: 755 ident: Bib0026 article-title: Microsoft coco: Common objects in context publication-title: European Conference on Computer Vision doi: 10.1007/978-3-319-10602-1_48 – start-page: 534 year: 2014 end-page: 539 ident: Bib0034 article-title: Inferring air pollution by sniffing social media publication-title: Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM ’14) doi: 10.1109/ASONAM.2014.6921638 – volume: 1 start-page: 297 issue: 4 year: 2018 end-page: 307 ident: Bib0004 article-title: Effective variational data assimilation in air-pollution prediction publication-title: Big Data Min. Analyt. doi: 10.26599/BDMA.2018.9020025 – volume: 25 start-page: 814 issue: 8 year: 1975 end-page: 821 ident: Bib0035 article-title: Current technology for continuous monitoring of particulate emissions publication-title: J. Air Pollut. Contr. Assoc. doi: 10.1080/00022470.1975.10470141 – start-page: 630 year: 2015 end-page: 635 ident: Bib0029 article-title: PM2:5 monitoring using images from smartphones in participatory sensing publication-title: Proceedings of the IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS ’15) doi: 10.1109/INFCOMW.2015.7179456 – volume: 17 start-page: 9485 issue: 15 year: 2017 end-page: 9518 ident: Bib0041 article-title: A review of current knowledge concerning PM 2. 5 chemical composition, aerosol optical properties and their relationships across China publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-17-9485-2017 – ident: e_1_3_1_43_2 doi: 10.1109/LSP.2012.2199980 – ident: e_1_3_1_46_2 – ident: e_1_3_1_49_2 doi: 10.1145/3351270 – volume: 15 start-page: 10 volume-title: Alvey Vision Conference year: 1988 ident: e_1_3_1_19_2 – ident: e_1_3_1_51_2 doi: 10.1109/TIM.2018.2886091 – ident: e_1_3_1_11_2 doi: 10.1109/TIP.2016.2598681 – ident: e_1_3_1_14_2 doi: 10.1109/JIOT.2020.3004582 – volume: 1326 year: 1998 ident: e_1_3_1_39_2 article-title: From air pollution to climate change publication-title: Atmos. Chem. Phys. – ident: e_1_3_1_40_2 doi: 10.26599/TST.2021.9010033 – start-page: 3433 volume-title: Proceedings of the 25th IEEE International Conference on Image Processing (ICIP ’18) year: 2018 ident: e_1_3_1_8_2 – ident: e_1_3_1_18_2 doi: 10.1109/TNNLS.2017.2649101 – start-page: 740 volume-title: European Conference on Computer Vision year: 2014 ident: e_1_3_1_27_2 – start-page: 534 volume-title: Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM ’14) year: 2014 ident: e_1_3_1_35_2 – ident: e_1_3_1_6_2 doi: 10.1109/LSP.2014.2314487 – start-page: 1356 volume-title: Proceedings of the IEEE International Conference on Multimedia and Expo (ICME ’17) year: 2017 ident: e_1_3_1_7_2 doi: 10.1109/ICME.2017.8019508 – start-page: 3949 volume-title: Proceedings of the IEEE International Conference on Image Processing (ICIP ’17) year: 2017 ident: e_1_3_1_12_2 – ident: e_1_3_1_13_2 doi: 10.1016/j.envpol.2014.11.028 – ident: e_1_3_1_17_2 doi: 10.1109/TIE.2018.2840515 – ident: e_1_3_1_23_2 doi: 10.3390/s22155477 – ident: e_1_3_1_5_2 doi: 10.26599/BDMA.2018.9020025 – start-page: 630 volume-title: Proceedings of the IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS ’15) year: 2015 ident: e_1_3_1_30_2 – ident: e_1_3_1_22_2 doi: 10.1109/TPAMI.2015.2389824 – start-page: 1 volume-title: Proceedings of the 7th International Conference on Internet Multimedia Computing and Service year: 2015 ident: e_1_3_1_25_2 – ident: e_1_3_1_15_2 doi: 10.1016/j.adhoc.2018.11.010 – ident: e_1_3_1_42_2 doi: 10.5194/acp-17-9485-2017 – ident: e_1_3_1_32_2 doi: 10.1016/1352-2310(94)00340-Q – start-page: 2024 volume-title: IEEE Conference on Computer Communications (INFOCOM ’18) year: 2018 ident: e_1_3_1_50_2 – ident: e_1_3_1_45_2 doi: 10.1109/ACCESS.2019.2945805 – start-page: 853 volume-title: Proceedings of the IEEE International Conference on Information and Automation (ICIA ’17) year: 2017 ident: e_1_3_1_26_2 – ident: e_1_3_1_44_2 doi: 10.1145/3440248 – ident: e_1_3_1_53_2 doi: 10.1109/TIP.2015.2446191 – start-page: 1 volume-title: Proceedings of the IEEE Aerospace Conference year: 2009 ident: e_1_3_1_48_2 – ident: e_1_3_1_9_2 doi: 10.1016/j.envsoft.2004.07.009 – ident: e_1_3_1_37_2 doi: 10.1038/s41467-021-26348-y – volume: 2 start-page: 610 volume-title: Proceedings of the 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS ’21) year: 2021 ident: e_1_3_1_24_2 – volume: 41 start-page: 1079 issue: 8 year: 1991 ident: e_1_3_1_38_2 article-title: Continuous PM-10 measurements using the tapered element oscillating microbalance publication-title: J. Air Waste Manage. Assoc. doi: 10.1080/10473289.1991.10466903 – ident: e_1_3_1_4_2 doi: 10.1021/acs.est.5b01236 – start-page: 1433 volume-title: Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO ’14) year: 2014 ident: e_1_3_1_33_2 – start-page: 297 volume-title: Proceedings of the 24th ACM International Conference on Multimedia year: 2016 ident: e_1_3_1_52_2 doi: 10.1145/2964284.2967230 – ident: e_1_3_1_16_2 doi: 10.1007/s41095-021-0235-7 – ident: e_1_3_1_3_2 doi: 10.1007/s13181-011-0203-1 – volume: 30 start-page: 907 issue: 7 year: 2010 ident: e_1_3_1_29_2 article-title: Optimization of site locations of regional air quality monitoring network: methodology study publication-title: China Environ. Sci. – ident: e_1_3_1_10_2 doi: 10.1177/0278364915620033 – ident: e_1_3_1_21_2 doi: 10.1109/CVPR.2009.5206515 – ident: e_1_3_1_34_2 doi: 10.1088/0031-9112/28/11/025 – volume: 16 start-page: 1030 year: 2011 ident: e_1_3_1_28_2 article-title: The evaluation of air quality using image quality publication-title: Chin. J. Image Graph – ident: e_1_3_1_36_2 doi: 10.1080/00022470.1975.10470141 – ident: e_1_3_1_47_2 – start-page: 1 volume-title: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition year: 2008 ident: e_1_3_1_41_2 – ident: e_1_3_1_31_2 doi: 10.1109/JIOT.2020.3021006 – ident: e_1_3_1_2_2 – ident: e_1_3_1_20_2 doi: 10.1016/j.jaerosci.2004.04.004 |
| SSID | ssj0033430 |
| Score | 2.3618162 |
| Snippet | Air quality monitoring is important to the green development of smart cities. Several technical challenges exist for intelligent, high-precision monitoring,... |
| SourceID | crossref acm |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 1 |
| SubjectTerms | Applied computing Computing / technology policy Computing in government Computing methodologies Inductive inference Logical and relational learning Machine learning theory Social and professional topics Systems theory Theory of computation |
| SubjectTermsDisplay | Applied computing -- Computing in government Computing methodologies -- Logical and relational learning Computing methodologies -- Systems theory Social and professional topics -- Computing / technology policy Theory of computation -- Inductive inference Theory of computation -- Machine learning theory |
| Title | AQMon: A Fine-grained Air Quality Monitoring System Based on UAV Images for Smart Cities |
| URI | https://dl.acm.org/doi/10.1145/3638766 |
| Volume | 20 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3Nb9MwFLfGdoEDggFibCAfEJfIo7GTOtnNFPaBVqSpLeqtsuN4TKLpPtrD9tfz_JHUGjsMLlHlOE6U9-vzz_F7v4fQx35PgueXkmR52SOZZhVRqqSEVVppTWtjjE1OHv7oH0-y79N8ug4rctklS7Vf3T2YV_I_VoU2sKvNkv0Hy3aDQgP8BvvCESwMx0fZWJwNfWSGSA6BLZJzW-8BGKS4uE68OMZt-NO6KDuvTp58gYlL202CifiZnMylVXmwwYajOdwiGTiJ1ZizisHQVpJoy4q7_YUbWP3CJY0PIu94-dSH3o5-rWRzftXOiu6E9yljQOOd_UbdTQarsOl_Uydn-23r6YVrPlotukHClwlqo1lI5P9E0IkOjjUHKBRB_buO23w5jtYb016EOhq51jSao32nv71_ZoUyGLgU3r-nr-1nbH_mCdqinNtN_S3xdXg6amduxjJXm6Z7Vp9kbYf9HC61HKaaRxwmIiPjF-h5WEVg4SHxEm3UzTZ6FmlLvkJTB44DLHAMDQzQwAEaeA0N7KGBHTTwosEADeyhgQEa2EEDe2i8RpPDb-PBMQllNIgE7rYkBlicLDXQDqZTzjUsKYtcppKzKrfqfaU0NVXKlEDdUlNyplVht19TprTUtWFv0GazaOq3COdGaU6rnpFWaS81BZOG97UyXAJzLugO2obXM7v0Qimz8NJ20Kf2dc2qoDxvC6D8nvms-HzdEXcd2zHudXn34B120dM1APfQ5vJ6Vb8HsrhUH4KN_wBcz2hS |
| linkProvider | EBSCOhost |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=AQMon%3A+A+Fine-grained+Air+Quality+Monitoring+System+Based+on+UAV+Images+for+Smart+Cities&rft.jtitle=ACM+transactions+on+sensor+networks&rft.au=Xia%2C+Shuangqing&rft.au=Xing%2C+Tianzhang&rft.au=Wu%2C+Chase+Q.&rft.au=Liu%2C+Guoqing&rft.date=2024-01-19&rft.pub=ACM&rft.issn=1550-4859&rft.eissn=1550-4867&rft.volume=20&rft.issue=2&rft.spage=1&rft.epage=20&rft_id=info:doi/10.1145%2F3638766&rft.externalDocID=3638766 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1550-4859&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1550-4859&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1550-4859&client=summon |