A METHOD FOR REGIONAL ANALYSIS USING DEEP LEARNING BASED ON BIG DATA OF OMNIDIRECTIONAL IMAGES OF STREETS
Saved in:
| Published in | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol. XLIII-B4-2022; pp. 545 - 552 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English Japanese |
| Published |
Copernicus GmbH
02.06.2022
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 2194-9034 |
| DOI | 10.5194/isprs-archives-xliii-b4-2022-545-2022 |
Cover
Loading…
| Author | T. Oki Y. Ogawa |
|---|---|
| Author_xml | – sequence: 1 fullname: T. Oki – sequence: 2 fullname: Y. Ogawa |
| BackLink | https://cir.nii.ac.jp/crid/1871991017826855936$$DView record in CiNii |
| BookMark | eNotjl9LwzAUxYMoOOe-Qx58jeZPb5o-ZmvWBdpGmu7BJ2m7DgOjygrixzdzvpxzD7_L4Tyg2-lzGhEijD4Dy5KXMH-dZ9Kdh4_wPc7k5xRCIH1COOWcQAJ_xw1a8PhMMiqSe7Sa59BTLrOUKkoXKGhcmXbncrx1DW5MYV2tS6yjvHnr8d7busC5Ma-4NLqpL2mtvcmxq_HaRqRbjd0Wu6q2uW3Mpr022EoXxl-IbxtjWv-I7o7daR5X_75E-61pNztSusJudEkmJuNsKVhCQSWcdSMcJR97FtcPopOUA4dUCTgMjIMExg5qpExJAIiWUtEdVS-W6OnaO4XwPoSLRsiyjFGWKi4VQCak-AUyhlQr |
| ContentType | Journal Article |
| DBID | RYH |
| DOI | 10.5194/isprs-archives-xliii-b4-2022-545-2022 |
| DatabaseName | CiNii Complete |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Visual Arts |
| EISSN | 2194-9034 |
| EndPage | 552 |
| GroupedDBID | 8FE 8FG 8FH AAFWJ ABJCF ACIWK ADBBV AEUYN AFKRA AFPKN AHGZY ALMA_UNASSIGNED_HOLDINGS ARCSS BCNDV BENPR BGLVJ BHPHI BKSAR CCPQU GROUPED_DOAJ HCIFZ L6V LK5 M7R M7S OK1 PCBAR PHGZM PHGZT PIMPY PROAC PTHSS RYH TUS |
| ID | FETCH-LOGICAL-n1622-6314058421ae5f62eb1194c3a6025257835dc1256511d8e0186555018703af8b3 |
| IngestDate | Thu Jun 26 21:02:19 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Language | English Japanese |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-n1622-6314058421ae5f62eb1194c3a6025257835dc1256511d8e0186555018703af8b3 |
| OpenAccessLink | http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2022-545-2022 |
| PageCount | 8 |
| ParticipantIDs | nii_cinii_1871991017826855936 |
| PublicationCentury | 2000 |
| PublicationDate | 2022-06-02 |
| PublicationDateYYYYMMDD | 2022-06-02 |
| PublicationDate_xml | – month: 06 year: 2022 text: 2022-06-02 day: 02 |
| PublicationDecade | 2020 |
| PublicationTitle | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| PublicationYear | 2022 |
| Publisher | Copernicus GmbH |
| Publisher_xml | – name: Copernicus GmbH |
| SSID | ssib026970800 ssj0001466505 |
| Score | 2.2503095 |
| SourceID | nii |
| SourceType | Publisher |
| StartPage | 545 |
| SubjectTerms | Applied optics. Photonics Engineering (General). Civil engineering (General) T TA1-2040 TA1501-1820 Technology |
| Title | A METHOD FOR REGIONAL ANALYSIS USING DEEP LEARNING BASED ON BIG DATA OF OMNIDIRECTIONAL IMAGES OF STREETS |
| URI | https://cir.nii.ac.jp/crid/1871991017826855936 |
| Volume | XLIII-B4-2022 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lj9owELYoK1XtoepTfe3Kh94ib4EkDhwDeCHVkiDIVvRUJca0brvsioBa7a_v5zwgWlXqthcrsdFAMp9mvhk8Y0LeLRMvldJeMceWkjlKcpbAEzFuc56abnirpalGnoR8fOF8WLiLRuOmXl2yTU_lzR_rSv5Hq5iDXk2V7D9odi8UE7iGfjFCwxjvpGPfmoh4HA0thHLWTIyKvrY-hk_zYG6ZIzVG1lCIqXUu_Flo7vr-XAytKLT6AZb82DfbfqJJGAyDmRiUnXGDiT8S-aHm83gmRDyvU9h4v92yyiPWu9caHjv9erXNd31dqu2mVCIQoWCY1llVFGnOQi4afezrJytDs6f58akVfdd7w4S7L8nPpJ6oQIxrchWHsHZwdY1fpuUus0aXafE_mMoNHYymw3qtMqlZWuXFeRAErO8wI6pmYd2i-2TprN2i_e1tPwBa6kB5OrveZCwpXwL79UNrzdJCJIOg_OIeOeogxGg1yVFfhNNZZY06vOcZOn3I2DkcdNa9T1j5De_vJB-kZa11jbTEj8mjMtqgfgGdJ6TxLXlKHn7U2a6YzZ4R7dMCRBQgohWIaAUimoOIGhDRCkQ0BxGNQgoQUQMiGp3RWyCiBYjMSgmi5-TiTMSDMSvP32DrNscTcBvRNwhqp50od8U7cOt4amknHETZmHrbXUoQZA7SvuyqVtsUOZsGkfAiyaqb2i9Ic321Vi8JbSvutTzZUS7kIaZNl11vpaTryB4-7XqvyDFe0mepzQgBZkMefAVi365rzpx8_Zf1N-TBAXJvSXO72aljsMVtelKq9STPtvwGetZWUA |
| linkProvider | ProQuest |
| 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=A+METHOD+FOR+REGIONAL+ANALYSIS+USING+DEEP+LEARNING+BASED+ON+BIG+DATA+OF+OMNIDIRECTIONAL+IMAGES+OF+STREETS&rft.jtitle=The+International+Archives+of+the+Photogrammetry%2C+Remote+Sensing+and+Spatial+Information+Sciences&rft.au=T.+Oki&rft.au=Y.+Ogawa&rft.date=2022-06-02&rft.pub=Copernicus+GmbH&rft.eissn=2194-9034&rft.volume=XLIII-B4-2022&rft.spage=545&rft.epage=552&rft_id=info:doi/10.5194%2Fisprs-archives-xliii-b4-2022-545-2022 |