Spatial-Temporal Evolution Guided Change Detection Network for Remote Sensing Images

With the rapid advancement of remote sensing technology, bitemporal remote sensing change detection (CD) techniques have also seen significant progress. However, existing CD tasks still face two challenges: 1) Variations in lighting and seasonal factors complicate imaging conditions, causing pseudov...

Full description

Saved in:
Bibliographic Details
Published inIEEE journal of selected topics in applied earth observations and remote sensing Vol. 17; pp. 14080 - 14092
Main Authors Wang, Qingwang, Hong, Zheng, Huang, Jiangbo, Zhao, Xiaobin, Song, Jian, Zeng, Kai, Shi, Jianwu, Shen, Tao
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Online AccessGet full text

Cover

Loading…
Abstract With the rapid advancement of remote sensing technology, bitemporal remote sensing change detection (CD) techniques have also seen significant progress. However, existing CD tasks still face two challenges: 1) Variations in lighting and seasonal factors complicate imaging conditions, causing pseudovariation interference, and 2) the spatial distribution and shapes of building are diverse, leading to difficulties in extracting and utilizing effective change features. In this article, we propose the spatial-temporal evolution guided change detection network (STEGNet) to capture and fully utilize rich spatial-temporal information. Specifically, we develop the chrono colorizer to mitigate pseudovariant interference by standardizing color styles and enriching time series information. In addition, we introduce the temporal-spatial guidance module, which combines spatial-temporal information to guide the decoding operation and mitigate information loss during spatial-temporal fusion, resulting in finer prediction results. Experimental results on three benchmark datasets demonstrate that STEGNet effectively suppresses pseudovariation interference and significantly improves the integrity of detection boundaries.
AbstractList With the rapid advancement of remote sensing technology, bitemporal remote sensing change detection (CD) techniques have also seen significant progress. However, existing CD tasks still face two challenges: 1) Variations in lighting and seasonal factors complicate imaging conditions, causing pseudovariation interference, and 2) the spatial distribution and shapes of building are diverse, leading to difficulties in extracting and utilizing effective change features. In this article, we propose the spatial-temporal evolution guided change detection network (STEGNet) to capture and fully utilize rich spatial-temporal information. Specifically, we develop the chrono colorizer to mitigate pseudovariant interference by standardizing color styles and enriching time series information. In addition, we introduce the temporal-spatial guidance module, which combines spatial-temporal information to guide the decoding operation and mitigate information loss during spatial-temporal fusion, resulting in finer prediction results. Experimental results on three benchmark datasets demonstrate that STEGNet effectively suppresses pseudovariation interference and significantly improves the integrity of detection boundaries.
Author Shen, Tao
Hong, Zheng
Shi, Jianwu
Huang, Jiangbo
Zhao, Xiaobin
Zeng, Kai
Wang, Qingwang
Song, Jian
Author_xml – sequence: 1
  givenname: Qingwang
  orcidid: 0000-0001-5820-5357
  surname: Wang
  fullname: Wang, Qingwang
  email: wangqingwang@kust.edu.cn
  organization: Faculty of Information Engineering and Automation, Kunming, China
– sequence: 2
  givenname: Zheng
  surname: Hong
  fullname: Hong, Zheng
  email: hongzheng@stu.kust.edu.cn
  organization: Faculty of Information Engineering and Automation, Kunming, China
– sequence: 3
  givenname: Jiangbo
  orcidid: 0000-0002-6103-7769
  surname: Huang
  fullname: Huang, Jiangbo
  email: huangjiangbo@stu.kust.edu.cn
  organization: Faculty of Information Engineering and Automation, Kunming, China
– sequence: 4
  givenname: Xiaobin
  orcidid: 0000-0002-9828-1976
  surname: Zhao
  fullname: Zhao, Xiaobin
  email: xiaobinzhao@bit.eud.cn
  organization: Faculty of Information Engineering and Automation, Kunming, China
– sequence: 5
  givenname: Jian
  orcidid: 0000-0001-6895-0385
  surname: Song
  fullname: Song, Jian
  organization: Faculty of Information Engineering and Automation, Kunming, China
– sequence: 6
  givenname: Kai
  surname: Zeng
  fullname: Zeng, Kai
  organization: Faculty of Information Engineering and Automation, Kunming, China
– sequence: 7
  givenname: Jianwu
  orcidid: 0000-0002-6565-8538
  surname: Shi
  fullname: Shi, Jianwu
  email: shijianwu2000@sina.com
  organization: Faculty of of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, China
– sequence: 8
  givenname: Tao
  orcidid: 0000-0003-1273-7950
  surname: Shen
  fullname: Shen, Tao
  email: shentao@kust.edu.cn
  organization: Faculty of Information Engineering and Automation, Kunming, China
BookMark eNpNkU9Lw0AQxRdRsFU_gR4CnlNn_2W7x1KrVkTB1vOym53U1DRbN6nitzeaIp5meLz3ZuA3JId1qJGQcwojSkFf3S-Wk-fFiAETIy64lhQOyIBRSVMquTwkA6q5TqkAcUyGTbMGyJjSfECWi61tS1ulS9xsQ7RVMvsI1a4tQ53c7kqPPpm-2nqFyTW2mP_qj9h-hviWFCEmz7gJLSYLrJuyXiXzjV1hc0qOCls1eLafJ-TlZrac3qUPT7fz6eQhzZkQbeokzb3lKhNKKimFzgAkk9qjUqgdOCms99x6YIW3hc4pWPA4VrJwjBYZPyHzvtcHuzbbWG5s_DLBluZXCHFlbGzLvEKTOeqc06DzrBAA1OXMdjtnHJiDse66LvuubQzvO2xasw67WHfvGw464wrGinUu3rvyGJomYvF3lYL5QWF6FOYHhdmj6FIXfapExH-JjHFFOf8GRYyGiA
CODEN IJSTHZ
Cites_doi 10.3390/rs12111781
10.1080/22797254.2021.2025154
10.1109/LGRS.2018.2868704
10.1117/12.2635320
10.1109/TGRS.2018.2863224
10.5194/nhess-21-2313-2021
10.3390/rs12172681
10.1109/TGRS.2021.3095166
10.1109/JPROC.2017.2675998
10.3390/rs12101662
10.1109/LGRS.2021.3056416
10.1007/978-981-13-7025-0_18
10.1109/JSTARS.2023.3306274
10.1109/ICCV48922.2021.01491
10.3390/rs15040928
10.1007/s10708-020-10359-1
10.1080/10095020.2022.2085633
10.1109/JSTARS.2023.3310208
10.1016/j.cageo.2022.105192
10.1109/TGRS.2021.3055584
10.1007/s00521-022-08122-3
10.1109/TGRS.2016.2530807
10.1016/j.heliyon.2021.e08437
10.1109/JSTARS.2021.3078631
10.5194/isprs-archives-XLIII-B3-2020-1507-2020
10.1109/JSTARS.2024.3403863
10.1007/s10661-021-09486-0
10.1109/TGRS.2022.3221492
10.1109/TGRS.2023.3280902
10.1007/s10514-018-9734-5
10.1007/s12145-017-0286-6
10.1109/JSTARS.2022.3176858
10.1109/TIP.2022.3226418
10.1109/TGRS.2023.3241436
10.1109/JSTARS.2020.3037893
10.1109/TGRS.2024.3383800
10.1109/38.946629
10.1007/978-981-16-3961-6_46
10.1007/s11431-023-2528-8
10.1016/j.isprsjprs.2020.06.003
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
DBID 97E
ESBDL
RIA
RIE
AAYXX
CITATION
7UA
8FD
C1K
F1W
FR3
H8D
H96
KR7
L.G
L7M
DOA
DOI 10.1109/JSTARS.2024.3439510
DatabaseName IEEE All-Society Periodicals Package (ASPP) 2005-present
IEEE Xplore Open Access Journals
IEEE All-Society Periodicals Package (ASPP) 1998-Present
IEEE Electronic Library Online
CrossRef
Water Resources Abstracts
Technology Research Database
Environmental Sciences and Pollution Management
ASFA: Aquatic Sciences and Fisheries Abstracts
Engineering Research Database
Aerospace Database
Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources
Civil Engineering Abstracts
Aquatic Science & Fisheries Abstracts (ASFA) Professional
Advanced Technologies Database with Aerospace
Directory of Open Access Journals
DatabaseTitle CrossRef
Aerospace Database
Civil Engineering Abstracts
Aquatic Science & Fisheries Abstracts (ASFA) Professional
Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources
Technology Research Database
ASFA: Aquatic Sciences and Fisheries Abstracts
Engineering Research Database
Advanced Technologies Database with Aerospace
Water Resources Abstracts
Environmental Sciences and Pollution Management
DatabaseTitleList

Aerospace Database
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: RIE
  name: IEEE Xplore
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Geology
EISSN 2151-1535
EndPage 14092
ExternalDocumentID oai_doaj_org_article_6b1bbb909c6f4001bc2a9c632302b089
10_1109_JSTARS_2024_3439510
10623713
Genre orig-research
GrantInformation_xml – fundername: Major Science and Technology Projects in Yunnan Province
  grantid: 202302AG050009; 202202AD080013
  funderid: 10.13039/501100018531
– fundername: Youth Project of the National Natural Science Foundation of China
  grantid: 62201237
– fundername: Yunnan Fundamental Research Projects
  grantid: 202101BE070001-008; 202301AV070003
GroupedDBID 0R~
29I
4.4
5GY
5VS
6IK
97E
AAFWJ
AAJGR
ACIWK
AENEX
AETIX
AFPKN
AFRAH
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
DU5
EBS
EJD
ESBDL
GROUPED_DOAJ
HZ~
IFIPE
IPLJI
JAVBF
M43
O9-
OCL
OK1
RIA
RIE
RIG
RNS
AAYXX
AGSQL
CITATION
7UA
8FD
C1K
F1W
FR3
H8D
H96
KR7
L.G
L7M
ID FETCH-LOGICAL-c244t-b51cda376475755496005259de77e9b0b54add3ad02fdaf9c10a0de875fb21f63
IEDL.DBID DOA
ISSN 1939-1404
IngestDate Tue Oct 22 15:10:09 EDT 2024
Thu Oct 10 22:21:00 EDT 2024
Fri Dec 06 08:31:32 EST 2024
Wed Sep 04 05:53:20 EDT 2024
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Language English
License https://creativecommons.org/licenses/by-nc-nd/4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c244t-b51cda376475755496005259de77e9b0b54add3ad02fdaf9c10a0de875fb21f63
ORCID 0000-0002-9828-1976
0000-0003-1273-7950
0000-0001-5820-5357
0000-0002-6565-8538
0000-0001-6895-0385
0000-0002-6103-7769
OpenAccessLink https://doaj.org/article/6b1bbb909c6f4001bc2a9c632302b089
PQID 3096370872
PQPubID 75722
PageCount 13
ParticipantIDs proquest_journals_3096370872
crossref_primary_10_1109_JSTARS_2024_3439510
ieee_primary_10623713
doaj_primary_oai_doaj_org_article_6b1bbb909c6f4001bc2a9c632302b089
PublicationCentury 2000
PublicationDate 20240000
2024-00-00
20240101
2024-01-01
PublicationDateYYYYMMDD 2024-01-01
PublicationDate_xml – year: 2024
  text: 20240000
PublicationDecade 2020
PublicationPlace Piscataway
PublicationPlace_xml – name: Piscataway
PublicationTitle IEEE journal of selected topics in applied earth observations and remote sensing
PublicationTitleAbbrev JSTARS
PublicationYear 2024
Publisher IEEE
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml – name: IEEE
– name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References ref13
ref35
ref12
ref34
ref15
ref37
ref14
ref36
ref31
ref30
ref11
ref33
ref10
ref32
ref2
ref1
ref17
ref39
ref16
ref38
ref19
ref18
ref24
ref23
ref26
ref25
ref20
ref22
ref21
ref28
ref27
ref29
ref8
ref7
ref9
ref4
ref3
ref6
ref5
ref40
References_xml – ident: ref18
  doi: 10.3390/rs12111781
– ident: ref12
  doi: 10.1080/22797254.2021.2025154
– ident: ref17
  doi: 10.1109/LGRS.2018.2868704
– ident: ref34
  doi: 10.1117/12.2635320
– ident: ref30
  doi: 10.1109/TGRS.2018.2863224
– ident: ref6
  doi: 10.5194/nhess-21-2313-2021
– ident: ref7
  doi: 10.3390/rs12172681
– ident: ref32
  doi: 10.1109/TGRS.2021.3095166
– ident: ref33
  doi: 10.1109/JPROC.2017.2675998
– ident: ref23
  doi: 10.3390/rs12101662
– ident: ref16
  doi: 10.1109/LGRS.2021.3056416
– ident: ref28
  doi: 10.1007/978-981-13-7025-0_18
– ident: ref22
  doi: 10.1109/JSTARS.2023.3306274
– ident: ref27
  doi: 10.1109/ICCV48922.2021.01491
– ident: ref36
  doi: 10.3390/rs15040928
– ident: ref10
  doi: 10.1007/s10708-020-10359-1
– ident: ref3
  doi: 10.1080/10095020.2022.2085633
– ident: ref21
  doi: 10.1109/JSTARS.2023.3310208
– ident: ref11
  doi: 10.1016/j.cageo.2022.105192
– ident: ref38
  doi: 10.1109/TGRS.2021.3055584
– ident: ref35
  doi: 10.1007/s00521-022-08122-3
– ident: ref1
  doi: 10.1109/TGRS.2016.2530807
– ident: ref8
  doi: 10.1016/j.heliyon.2021.e08437
– ident: ref14
  doi: 10.1109/JSTARS.2021.3078631
– ident: ref37
  doi: 10.5194/isprs-archives-XLIII-B3-2020-1507-2020
– ident: ref2
  doi: 10.1109/JSTARS.2024.3403863
– ident: ref9
  doi: 10.1007/s10661-021-09486-0
– ident: ref20
  doi: 10.1109/TGRS.2022.3221492
– ident: ref24
  doi: 10.1109/TGRS.2023.3280902
– ident: ref39
  doi: 10.1007/s10514-018-9734-5
– ident: ref15
  doi: 10.1007/s12145-017-0286-6
– ident: ref19
  doi: 10.1109/JSTARS.2022.3176858
– ident: ref26
  doi: 10.1109/TIP.2022.3226418
– ident: ref29
  doi: 10.1109/TGRS.2023.3241436
– ident: ref31
  doi: 10.1109/JSTARS.2020.3037893
– ident: ref4
  doi: 10.1109/TGRS.2024.3383800
– ident: ref25
  doi: 10.1109/38.946629
– ident: ref13
  doi: 10.1007/978-981-16-3961-6_46
– ident: ref5
  doi: 10.1007/s11431-023-2528-8
– ident: ref40
  doi: 10.1016/j.isprsjprs.2020.06.003
SSID ssj0062793
Score 2.4042373
Snippet With the rapid advancement of remote sensing technology, bitemporal remote sensing change detection (CD) techniques have also seen significant progress....
SourceID doaj
proquest
crossref
ieee
SourceType Open Website
Aggregation Database
Publisher
StartPage 14080
SubjectTerms Change detection
Change detection (CD)
convolutional neural network
Decoding
deep learning (DL)
Evolution
Feature extraction
Image color analysis
Imaging
Information processing
Interference
Remote sensing
Seasonal distribution
Spatial distribution
spatial-temporal evolution
Spatiotemporal data
Standardization
Task analysis
very high resolution (VHR) image
SummonAdditionalLinks – databaseName: IEEE Electronic Library Online
  dbid: RIE
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwELZKpUpcoEARCwX5wLFZbCex18e29AFS99Bupd4sP8YIFdKqzVYqv77jx6IKhMQtihLF8Teehz3zDSEfW2F1tMAxLOl80wXhG-s0KsPegrCKxyhTcfLJXB6fd18v-otarJ5rYQAgJ5_BNF3ms_xw5ZdpqwxXOBprlXrUPlFalmKtldqVQmWGXXRIdJM4YyrFEGf6E8r47ukZBoOim7ZogftUL_vIDGW2_tpe5S-dnA3N4XMyXw2x5JdcTpejm_pff7A3_vc_bJJn1eWku0VGXpA1GF6SjaPc0vf-FVmkrsQohc2isFT9oAd3VR7p0fJ7gEBLCQL9DGNO3BrovCSPU_R46Skg2kDPUib88I1--Yka6naLnB8eLPaPm9profFo4MfG9dwHi9qmU-jAYdAo04ZxrwMoBdox13eoCVsbmIjBRu05sywARjvRCR5l-5qsD1cDvCFUzyKLSknvW9VZy2dMBcG07bgGpoBNyM5q6s11odQwORRh2hSkTELKVKQmZC_B8_vRxIedb-C0mrq8jHTcOaeZ9jKiVuLOowx62WKAJRyb6QnZSlA8-l5BYUK2V2ibunhvTYthXavYTIm3_3jtHXmahli2YrbJ-nizhPfonIzuQxbKB6qC3xg
  priority: 102
  providerName: IEEE
Title Spatial-Temporal Evolution Guided Change Detection Network for Remote Sensing Images
URI https://ieeexplore.ieee.org/document/10623713
https://www.proquest.com/docview/3096370872
https://doaj.org/article/6b1bbb909c6f4001bc2a9c632302b089
Volume 17
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LSwMxEA4iCF7ER8VqLTl4dDXJ7ibNsb4V9FAreAt5iqCr2Fbw3ztJtlLw4MXrsmx2Z2Yn3xdmvkHooGRaBu0p0JLKFpVjttBGQjKstWda0BB4bE6-veNXD9XNY_24MOor1oRleeBsuGNuqDFGEml5gHijxsLTLS8BOjNDBrl1j7A5mco5mDOR5HYBncgiCsi0ekOUyGMI-OHoHpghq45K2I7r2Dy7sCcl6f521sqvBJ12nYt1tNbCRTzMr7mBlnyziVYu0zjery00jhOFIYKKcVaYesHnn20s4cvZs_MO5_YBfOanqeiqwXe58BsDWsUjD57y-D5WsTdP-PoVssukgx4uzsenV0U7J6GwsDlPC1NT6zRkikoA-ALCx-Nhby2dF8JLQ0xdQRYrtSMsOB2kpUQT54GpBMNo4OU2Wm7eGr-DsBwEEoTg1pai0poOiHCMSF1R6YnwpIsO55ZS71kOQyUaQaTKhlXRsKo1bBedRGv-3Bq1rNMF8LBqPaz-8nAXdaIvFtYDyAbcuot6c-eo9sebqBIoWSnIQLDd_1h7D63G78lnLj20PP2Y-X1AIVPTTwHXTw2D38M61ag
link.rule.ids 314,780,784,796,864,2102,4024,27923,27924,27925,54758
linkProvider Directory of Open Access Journals
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1bTxQxFG4MxuiLimJYROmDj87adi7dPoICy20fYEl4a3o5NQYdDMyS4K_n9LKGaEx8m0xmMp1-p-fSnvMdQj7UwqhggGNY0riq8cJVxipUhq0BYSQPoYvFySezbnreHF60F6VYPdXCAEBKPoNxvExn-f7KLeJWGa5wNNYy9qh93Dbo6OZyraXi7YRMHLvokqgqssYUkiHO1CeU8u3TMwwHRTOu0Qa3sWL2gSFKfP2lwcpfWjmZmr0XZLYcZM4wuRwvBjt2v_7gb_zvv3hJnhenk25nKVklj6B_RZ7sp6a-d6_JPPYlRjms5pmn6jvdvS0SSfcX3zx4mosQ6BcYUupWT2c5fZyiz0tPAfEGehZz4fuv9OAH6qibNXK-tzv_PK1Kt4XKoYkfKtty5w3qG5xZiU4Ghjaxx53yICUoy2zboC6sjWcieBOU48wwDxjvBCt46Oo3ZKW_6mGdUDUJLEjZOVfLxhg-YdILpkzDFTAJbEQ-Lqde_8ykGjoFI0zpjJSOSOmC1IjsRHh-PxoZsdMNnFZdFpjuLLfWKqZcF1AvcetQCl1XY4glLJuoEVmLUDz4XkZhRDaXaOuyfG90jYFdLdlEio1_vLZFnk7nJ8f6-GB29JY8i8PNGzObZGW4XsA7dFUG-z4J6D2TJuJr
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=Spatial-Temporal+Evolution+Guided+Change+Detection+Network+for+Remote+Sensing+Images&rft.jtitle=IEEE+journal+of+selected+topics+in+applied+earth+observations+and+remote+sensing&rft.au=Wang%2C+Qingwang&rft.au=Hong%2C+Zheng&rft.au=Huang%2C+Jiangbo&rft.au=Zhao%2C+Xiaobin&rft.date=2024&rft.issn=1939-1404&rft.eissn=2151-1535&rft.volume=17&rft.spage=14080&rft.epage=14092&rft_id=info:doi/10.1109%2FJSTARS.2024.3439510&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_JSTARS_2024_3439510
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1939-1404&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1939-1404&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1939-1404&client=summon