{"id":"https://openalex.org/W4256508898","doi":"https://doi.org/10.1109/igarss.2016.7729230","title":"Multiscale convolutional neural network for the detection of built-up areas in high-resolution SAR images","display_name":"Multiscale convolutional neural network for the detection of built-up areas in high-resolution SAR images","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W4256508898","doi":"https://doi.org/10.1109/igarss.2016.7729230"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7729230","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729230","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":"article","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/A5065195716","display_name":"Jingge Li","orcid":"https://orcid.org/0000-0002-2811-7900"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingge Li","raw_affiliation_strings":["Chinese Academy of Sciences, Key Laboratory of Electromagnetic Space Information, Hefei","Department of Electronic Engineering and Information Science, USTC, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Key Laboratory of Electromagnetic Space Information, Hefei","institution_ids":["https://openalex.org/I2802624667","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, USTC, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451795","display_name":"Rong Zhang","orcid":"https://orcid.org/0000-0002-6468-5489"},"institutions":[{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, Key Laboratory of Electromagnetic Space Information, Hefei","Department of Electronic Engineering and Information Science, USTC, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Key Laboratory of Electromagnetic Space Information, Hefei","institution_ids":["https://openalex.org/I2802624667","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, USTC, Hefei, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100387756","display_name":"Yue Li","orcid":"https://orcid.org/0000-0001-9799-3210"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Li","raw_affiliation_strings":["Chinese Academy of Sciences, Key Laboratory of Electromagnetic Space Information, Hefei","Department of Electronic Engineering and Information Science, USTC, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Key Laboratory of Electromagnetic Space Information, Hefei","institution_ids":["https://openalex.org/I2802624667","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, USTC, Hefei, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065195716"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I2802624667"],"apc_list":null,"apc_paid":null,"fwci":3.8754,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.94465178,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"910","last_page":"913"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.996399998664856,"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":0.996399998664856,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9883999824523926,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7805936336517334},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7556301355361938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7064307928085327},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6595152616500854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5982681512832642},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5880632400512695},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.5413107872009277},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.526680588722229},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4665747582912445},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4201253354549408},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40931302309036255},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.40477073192596436},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08031144738197327}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7805936336517334},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7556301355361938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7064307928085327},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6595152616500854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5982681512832642},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5880632400512695},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.5413107872009277},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.526680588722229},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4665747582912445},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4201253354549408},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40931302309036255},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40477073192596436},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08031144738197327},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7729230","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729230","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":[{"id":"https://metadata.un.org/sdg/11","score":0.8399999737739563,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2015861736","https://openalex.org/W2073146649","https://openalex.org/W2112796928","https://openalex.org/W2130121782","https://openalex.org/W2146502635","https://openalex.org/W2163605009","https://openalex.org/W2166155205","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4312417841","https://openalex.org/W2008518276","https://openalex.org/W2152662390"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,69],"the":[4,18,60,81],"problem":[5],"of":[6,17,22,62,65],"built-up":[7,23,47],"areas":[8,24],"detection":[9],"in":[10,25],"single":[11,85],"high-resolution":[12,26,71],"SAR":[13,27,66,72],"images.":[14,67],"In":[15],"consideration":[16],"rich":[19],"structure":[20],"information":[21],"images,":[28],"we":[29,58],"put":[30],"forward":[31],"a":[32,56],"multiscale":[33,38],"CNN":[34],"model":[35],"to":[36,45],"extract":[37],"trained":[39],"features":[40,51],"directly":[41],"from":[42],"image":[43],"patches":[44],"detect":[46],"areas.":[48],"By":[49],"processing":[50],"extraction":[52],"and":[53,84],"classification":[54],"as":[55],"whole,":[57],"overcome":[59],"difficulty":[61],"feature":[63],"definition":[64],"Experiments":[68],"TerraSAR-X":[70],"images":[73],"over":[74],"Beijing":[75],"show":[76],"that":[77],"our":[78],"approach":[79],"outperforms":[80],"traditional":[82],"methods":[83],"scale":[86],"CNNs":[87],"method.":[88]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
