{"id":"https://openalex.org/W1817128815","doi":"https://doi.org/10.1109/igarss.2005.1525204","title":"Study on content-based remote sensing image retrieval","display_name":"Study on content-based remote sensing image retrieval","publication_year":2005,"publication_date":"2005-11-15","ids":{"openalex":"https://openalex.org/W1817128815","doi":"https://doi.org/10.1109/igarss.2005.1525204","mag":"1817128815"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2005.1525204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1525204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100690406","display_name":"Peijun Du","orcid":"https://orcid.org/0000-0002-2488-2656"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peijun Du","raw_affiliation_strings":["Department of RS and GISci, China University of Mining and Technology, Xuzhou, Jiangsu, China","Dept. of RS & GIS, China Univ. of Min. & Technol., Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of RS and GISci, China University of Mining and Technology, Xuzhou, Jiangsu, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"Dept. of RS & GIS, China Univ. of Min. & Technol., Jiangsu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100716311","display_name":"Yunhao Chen","orcid":"https://orcid.org/0000-0001-7926-7303"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhao Chen","raw_affiliation_strings":["Institute of Resources Science, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Resources Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051316999","display_name":"Hong Tang","orcid":"https://orcid.org/0000-0001-9058-5724"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Tang","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101615935","display_name":"Tao Fang","orcid":"https://orcid.org/0000-0002-8277-2551"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Fang","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"707","last_page":"710"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.867079496383667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.788709282875061},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7149031758308411},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.5846627950668335},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5604069828987122},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.48506227135658264},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.45848578214645386},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.4473343789577484},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.4258057475090027},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42172181606292725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35514867305755615},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33893004059791565},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2959328591823578},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23554840683937073},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11500996351242065},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09917062520980835}],"concepts":[{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.867079496383667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.788709282875061},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7149031758308411},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.5846627950668335},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5604069828987122},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.48506227135658264},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.45848578214645386},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.4473343789577484},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.4258057475090027},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42172181606292725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35514867305755615},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33893004059791565},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2959328591823578},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23554840683937073},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11500996351242065},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09917062520980835}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2005.1525204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1525204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W25483746","https://openalex.org/W2096643485","https://openalex.org/W2130660124","https://openalex.org/W2164343277","https://openalex.org/W2379740750","https://openalex.org/W2380900556","https://openalex.org/W2595146602"],"related_works":["https://openalex.org/W2416959398","https://openalex.org/W1987618107","https://openalex.org/W2573424097","https://openalex.org/W1595732891","https://openalex.org/W826460979","https://openalex.org/W2761229199","https://openalex.org/W3201443322","https://openalex.org/W2031096531","https://openalex.org/W2186643570","https://openalex.org/W1984753464"],"abstract_inverted_index":{"Some":[0],"basic":[1],"issues":[2],"on":[3,23],"content-based":[4,59],"remote":[5,60],"sensing":[6,61],"image":[7,62,92],"retrieval":[8,38,47,63],"are":[9,20,48,86],"discussed":[10],"in":[11,58],"this":[12],"paper.":[13],"The":[14,50],"framework,":[15],"processing":[16],"flow":[17],"and":[18,27,45,52,72,75,84],"levels":[19],"proposed":[21],"based":[22],"theory":[24],"of":[25,29,90],"CBIR":[26],"characteristics":[28],"RS":[30,91],"image.":[31],"Oriented":[32],"to":[33],"the":[34,87],"practical":[35],"demands,":[36],"five":[37],"patterns":[39],"including":[40],"template-based,":[41],"attribute-based,":[42],"metadata-based,":[43],"semanteme-based":[44],"integrated":[46],"proposed.":[49],"contents":[51],"features":[53,83],"that":[54],"can":[55],"be":[56],"used":[57],"include":[64],"color,":[65],"shape,":[66],"texture,":[67],"spectra,":[68],"spatial":[69,82],"relation,":[70],"metadata":[71,85],"relative":[73],"rules":[74],"knowledge.":[76],"Among":[77],"those":[78],"features,":[79,81],"spectral":[80],"main":[88],"aspects":[89],"differing":[93],"from":[94],"common":[95],"images.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}