{"id":"https://openalex.org/W2546931619","doi":"https://doi.org/10.1109/igarss.2016.7730341","title":"Simultaneous change region and pattern identification for VHR images","display_name":"Simultaneous change region and pattern identification for VHR images","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2546931619","doi":"https://doi.org/10.1109/igarss.2016.7730341","mag":"2546931619"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7730341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5071380059","display_name":"Leigang Huo","orcid":"https://orcid.org/0000-0002-3124-3860"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leigang Huo","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation, Beijing, China","School of Computer and Information Engineering, Guangxi Teachers Education University, Nanning, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Computer and Information Engineering, Guangxi Teachers Education University, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047574411","display_name":"Chunlei Huo","orcid":"https://orcid.org/0000-0002-6748-6709"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlei Huo","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"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":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5145","last_page":"5148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9882000088691711,"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":0.9882000088691711,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9732999801635742,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9697999954223633,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.8299795985221863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6811788082122803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6647447943687439},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6616097092628479},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6080636978149414},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5982970595359802},{"id":"https://openalex.org/keywords/change-analysis","display_name":"Change analysis","score":0.5511330366134644},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4130045175552368},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3040215075016022},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1286500096321106}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.8299795985221863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6811788082122803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6647447943687439},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6616097092628479},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6080636978149414},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5982970595359802},{"id":"https://openalex.org/C2989469682","wikidata":"https://www.wikidata.org/wiki/Q1401207","display_name":"Change analysis","level":2,"score":0.5511330366134644},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4130045175552368},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3040215075016022},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1286500096321106},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7730341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W968045710","https://openalex.org/W1991546502","https://openalex.org/W2100080933","https://openalex.org/W2104853049","https://openalex.org/W2107170853","https://openalex.org/W2165644552","https://openalex.org/W6684671274"],"related_works":["https://openalex.org/W196800607","https://openalex.org/W2372152927","https://openalex.org/W996025515","https://openalex.org/W3211915995","https://openalex.org/W3194846307","https://openalex.org/W2497228510","https://openalex.org/W4402265833","https://openalex.org/W2147991527","https://openalex.org/W2100290662","https://openalex.org/W4383503073"],"abstract_inverted_index":{"Very":[0],"high":[1],"resolution":[2],"images":[3],"are":[4],"promising":[5],"for":[6],"detecting":[7],"change":[8,12,24,36,40,58],"regions":[9,37],"and":[10,38,65],"identifying":[11],"patterns.":[13,41],"However,":[14],"the":[15,55,62,66,71,74],"low":[16],"overall":[17],"separability":[18],"makes":[19],"it":[20],"difficult":[21],"to":[22,33],"discriminate":[23],"features.":[25],"In":[26],"this":[27,48],"paper,":[28],"a":[29],"framework":[30],"is":[31,45,51],"proposed":[32,75],"simultaneously":[34],"detect":[35],"identify":[39],"A":[42],"supervised":[43],"approach":[44],"illustrated":[46],"within":[47],"framework,":[49],"which":[50],"aimed":[52],"at":[53],"reducing":[54],"overlaps":[56],"between":[57],"classes":[59],"by":[60],"capturing":[61],"interclass":[63],"difference":[64],"intraclass":[67],"similarity.":[68],"Experiments":[69],"demonstrate":[70],"effectiveness":[72],"of":[73],"approach.":[76]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
