{"id":"https://openalex.org/W2078433039","doi":"https://doi.org/10.1109/igarss.2015.7326782","title":"Deep hierarchical representation and segmentation of high resolution remote sensing images","display_name":"Deep hierarchical representation and segmentation of high resolution remote sensing images","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2078433039","doi":"https://doi.org/10.1109/igarss.2015.7326782","mag":"2078433039"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7326782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5100384754","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-5148-9454"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Institute of Remote Sensing and GIS, Peking University, Beijing, China","Inst. of remote sensing & GIS, Peking Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and GIS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Inst. of remote sensing & GIS, Peking Univ., Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109077790","display_name":"Qiming Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiming Qin","raw_affiliation_strings":["Institute of Remote Sensing and GIS, Peking University, Beijing, China","Inst. of remote sensing & GIS, Peking Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and GIS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Inst. of remote sensing & GIS, Peking Univ., Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014046579","display_name":"Zhoujing Li","orcid":null},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhoujing Li","raw_affiliation_strings":["College of Resources and Environmental Sciences, China Agricultural University, Beijing, China","College of Resources and Environmental Sciences, China Agricultural University Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Resources and Environmental Sciences, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"College of Resources and Environmental Sciences, China Agricultural University Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348108","display_name":"Xin Ye","orcid":"https://orcid.org/0000-0002-4795-1685"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Ye","raw_affiliation_strings":["Institute of Remote Sensing and GIS, Peking University, Beijing, China","Inst. of remote sensing & GIS, Peking Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and GIS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Inst. of remote sensing & GIS, Peking Univ., Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420034","display_name":"Jianhua Wang","orcid":"https://orcid.org/0000-0002-2773-3429"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Wang","raw_affiliation_strings":["Institute of Remote Sensing and GIS, Peking University, Beijing, China","Inst. of remote sensing & GIS, Peking Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and GIS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Inst. of remote sensing & GIS, Peking Univ., Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067556699","display_name":"Xiucheng Yang","orcid":"https://orcid.org/0000-0001-5134-9614"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiucheng Yang","raw_affiliation_strings":["Institute of Remote Sensing and GIS, Peking University, Beijing, China","Inst. of remote sensing & GIS, Peking Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and GIS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Inst. of remote sensing & GIS, Peking Univ., Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019003578","display_name":"Xuebin Qin","orcid":"https://orcid.org/0000-0002-9042-7192"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuebin Qin","raw_affiliation_strings":["Institute of Remote Sensing and GIS, Peking University, Beijing, China","Inst. of remote sensing & GIS, Peking Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and GIS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Inst. of remote sensing & GIS, Peking Univ., Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1514,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.87585095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4320","last_page":"4323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9936000108718872,"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/computer-science","display_name":"Computer science","score":0.7876705527305603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7646058797836304},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6961545944213867},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.664948582649231},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6582154035568237},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5953640937805176},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5866724848747253},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5332932472229004},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5182645320892334},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48702365159988403},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48036321997642517},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.44938579201698303},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4217067360877991},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39651697874069214},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10900428891181946},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.0935315191745758}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7876705527305603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7646058797836304},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6961545944213867},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.664948582649231},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6582154035568237},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5953640937805176},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5866724848747253},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5332932472229004},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5182645320892334},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48702365159988403},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48036321997642517},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.44938579201698303},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4217067360877991},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39651697874069214},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10900428891181946},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0935315191745758},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2015.7326782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1980038761","https://openalex.org/W2003059629","https://openalex.org/W2076063813","https://openalex.org/W2112973039"],"related_works":["https://openalex.org/W4234886518","https://openalex.org/W2389591058","https://openalex.org/W2382112581","https://openalex.org/W3124036233","https://openalex.org/W4229787472","https://openalex.org/W2486541857","https://openalex.org/W2108840191","https://openalex.org/W2759366996","https://openalex.org/W2110679372","https://openalex.org/W3211385606"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,39,45,52],"novel":[4],"deep":[5,23,46,53],"hierarchical":[6,24,47],"representation":[7,49,78],"and":[8,58,102,118],"segmentation":[9,43],"approach":[10,21],"for":[11,26,75],"high":[12,96],"resolution":[13,97],"remote":[14,27,98],"sensing":[15,28,99],"image":[16,29,42,77,100],"understanding.":[17],"An":[18],"information":[19,84],"extraction":[20],"using":[22,51],"exploitation":[25],"is":[30,35,69],"presented.":[31],"The":[32,67],"key":[33],"idea":[34],"that":[36],"we":[37],"adopt":[38],"fast":[40],"scanning":[41],"within":[44],"feature":[48],"framework,":[50],"learning":[54],"technique":[55],"to":[56,70,79],"split":[57],"merge":[59],"over-segmented":[60],"regions":[61],"until":[62],"they":[63],"form":[64,109],"meaningful":[65],"objects.":[66],"contribution":[68],"develop":[71],"an":[72],"effective":[73],"procedure":[74],"multi-scale":[76],"address":[80],"the":[81,108,116,121],"issue":[82],"of":[83,110,120],"uncertainty":[85],"in":[86,107],"practical":[87],"applications.":[88],"We":[89],"test":[90],"our":[91],"method":[92],"on":[93],"two":[94],"optical":[95],"datasets":[101],"produce":[103],"promising":[104],"experimental":[105],"results":[106],"multiple":[111],"layer":[112],"outputs,":[113],"which":[114],"confirm":[115],"effectiveness":[117],"robustness":[119],"proposed":[122],"procedure.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
