{"id":"https://openalex.org/W3044776120","doi":"https://doi.org/10.1109/tgrs.2020.3009143","title":"Adaptive Effective Receptive Field Convolution for Semantic Segmentation of VHR Remote Sensing Images","display_name":"Adaptive Effective Receptive Field Convolution for Semantic Segmentation of VHR Remote Sensing Images","publication_year":2020,"publication_date":"2020-07-24","ids":{"openalex":"https://openalex.org/W3044776120","doi":"https://doi.org/10.1109/tgrs.2020.3009143","mag":"3044776120"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3009143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3009143","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5100329991","display_name":"Xi Chen","orcid":"https://orcid.org/0000-0002-8566-2358"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Chen","raw_affiliation_strings":["Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, Shanghai, China","Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8566-2358","affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438045","display_name":"Zhiqiang Li","orcid":"https://orcid.org/0000-0001-8611-0742"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiqiang Li","raw_affiliation_strings":["Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101944041","display_name":"Jie Jiang","orcid":"https://orcid.org/0000-0003-1946-1707"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Jiang","raw_affiliation_strings":["Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027802291","display_name":"Zhen Han","orcid":"https://orcid.org/0000-0002-1862-4781"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Han","raw_affiliation_strings":["Software Engineering Institute, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software Engineering Institute, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021412645","display_name":"Shiyi Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyi Deng","raw_affiliation_strings":["Electronic and Information Engineering Institute, Hainan University, Hainan, China"],"raw_orcid":"https://orcid.org/0000-0002-4152-6610","affiliations":[{"raw_affiliation_string":"Electronic and Information Engineering Institute, Hainan University, Hainan, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389148","display_name":"Zhihong Li","orcid":"https://orcid.org/0000-0001-6802-6731"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhihong Li","raw_affiliation_strings":["Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","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":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011090035","display_name":"Hong Huo","orcid":"https://orcid.org/0000-0002-2862-9455"},"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 Huo","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2862-9455","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090964683","display_name":"Qingli Li","orcid":"https://orcid.org/0000-0001-5063-8801"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingli Li","raw_affiliation_strings":["Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5063-8801","affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100343855","display_name":"Min Liu","orcid":"https://orcid.org/0000-0001-6515-5095"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Min Liu","raw_affiliation_strings":["Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.4288,"has_fulltext":false,"cited_by_count":75,"citation_normalized_percentile":{"value":0.96776696,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"59","issue":"4","first_page":"3532","last_page":"3546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9991000294685364,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8385474681854248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6403038501739502},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6189455389976501},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5454169511795044},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5286691188812256},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5017886161804199},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.501544713973999},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4813159704208374},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.45098787546157837},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4421866834163666},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.427426815032959},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41196703910827637},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22164076566696167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8385474681854248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6403038501739502},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6189455389976501},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5454169511795044},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5286691188812256},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5017886161804199},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.501544713973999},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4813159704208374},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.45098787546157837},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4421866834163666},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.427426815032959},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41196703910827637},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22164076566696167},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.3009143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3009143","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8235462222","display_name":"\u57fa\u4e8e\u5168\u4e0a\u4e0b\u6587\u53ca\u6df1\u5ea6\u7279\u5f81\u5206\u6790\u7684\u9ad8\u5206\u8fa8\u7387\u9065\u611f\u56fe\u50cf\u5206\u7c7b\u7814\u7a76","funder_award_id":"41871340","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8825493861","display_name":null,"funder_award_id":"2020KEY003","funder_id":"https://openalex.org/F4320322370","funder_display_name":"East China Normal University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322370","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1745334888","https://openalex.org/W1836465849","https://openalex.org/W1861492603","https://openalex.org/W1899185266","https://openalex.org/W1963860205","https://openalex.org/W2037227137","https://openalex.org/W2097117768","https://openalex.org/W2109255472","https://openalex.org/W2144794286","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2480078828","https://openalex.org/W2488187315","https://openalex.org/W2527276685","https://openalex.org/W2531409750","https://openalex.org/W2556967412","https://openalex.org/W2558580397","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2598666589","https://openalex.org/W2601564443","https://openalex.org/W2623490820","https://openalex.org/W2630837129","https://openalex.org/W2745042876","https://openalex.org/W2755188318","https://openalex.org/W2760340275","https://openalex.org/W2774989306","https://openalex.org/W2778539913","https://openalex.org/W2789983685","https://openalex.org/W2790482089","https://openalex.org/W2790741584","https://openalex.org/W2791873954","https://openalex.org/W2799213142","https://openalex.org/W2804451008","https://openalex.org/W2808586699","https://openalex.org/W2814568980","https://openalex.org/W2890859091","https://openalex.org/W2894120608","https://openalex.org/W2903977688","https://openalex.org/W2915731581","https://openalex.org/W2935079508","https://openalex.org/W2935130647","https://openalex.org/W2943214363","https://openalex.org/W2949117887","https://openalex.org/W2949846184","https://openalex.org/W2950516690","https://openalex.org/W2952610664","https://openalex.org/W2955813853","https://openalex.org/W2962354294","https://openalex.org/W2962772649","https://openalex.org/W2962850830","https://openalex.org/W2963073398","https://openalex.org/W2963316641","https://openalex.org/W2963418739","https://openalex.org/W2963604034","https://openalex.org/W2963659230","https://openalex.org/W2963727650","https://openalex.org/W2963996492","https://openalex.org/W2964309882","https://openalex.org/W2965521953","https://openalex.org/W2965719507","https://openalex.org/W2966926453","https://openalex.org/W2985459778","https://openalex.org/W2988452521","https://openalex.org/W2990775046","https://openalex.org/W2991471181","https://openalex.org/W3100561351","https://openalex.org/W3101896960","https://openalex.org/W3104282073","https://openalex.org/W4308831279","https://openalex.org/W6631943919","https://openalex.org/W6638667902","https://openalex.org/W6639102338","https://openalex.org/W6639927594","https://openalex.org/W6722710385","https://openalex.org/W6727577265","https://openalex.org/W6729983426","https://openalex.org/W6739696289","https://openalex.org/W6748481559","https://openalex.org/W6756444276"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W3026913501","https://openalex.org/W4401096132","https://openalex.org/W2964954556"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2],"(CNNs)":[3],"have":[4],"facilitated":[5],"impressive":[6],"improvements":[7],"in":[8,71,140],"the":[9,35,42,54,66,75,78,108,116,122,131,164],"semantic":[10,22],"segmentation":[11,23],"of":[12,21,77,111,163],"very":[13],"high-resolution":[14],"(VHR)":[15],"remote":[16,72,102],"sensing":[17,73,103],"images.":[18,104,142],"The":[19],"success":[20],"depends":[24],"on":[25],"an":[26],"effective":[27,43,96,117],"receptive":[28,97],"field":[29],"(RF)":[30],"large":[31,87],"enough":[32],"to":[33,40,60,152],"cover":[34],"entire":[36],"object.":[37],"Popular":[38],"methods":[39,55],"enlarge":[41],"RF":[44,79,118],"include":[45],"dilated":[46],"filters,":[47],"subsampling":[48],"operations,":[49],"and":[50,86,113,125,137,166],"stacking":[51],"layers.":[52],"Unfortunately,":[53],"are":[56],"inefficient":[57],"or":[58],"able":[59],"cause":[61],"grid":[62],"artifacts.":[63],"Moreover,":[64],"although":[65],"object":[67],"sizes":[68],"vary":[69],"greatly":[70],"images,":[74],"size":[76],"cannot":[80],"reach":[81],"a":[82],"compromise":[83],"between":[84],"small":[85],"objects.":[88],"To":[89],"tackle":[90],"these":[91],"problems,":[92],"we":[93],"propose":[94],"adaptive":[95],"convolution":[98,112],"(AERFC)":[99],"for":[100,157],"VHR":[101,141],"AERFC":[105,129,143,176],"adaptively":[106],"controls":[107],"sampling":[109],"location":[110],"automatically":[114],"adjusts":[115],"without":[119],"significantly":[120],"increasing":[121],"parameter":[123],"number":[124],"computational":[126],"cost.":[127],"Thus,":[128],"reduces":[130],"training":[132],"difficulty,":[133],"decreases":[134],"overfitting":[135],"risk,":[136],"reserves":[138],"details":[139],"is":[144],"also":[145],"integrated":[146],"with":[147],"spatial":[148],"pyramid":[149],"pooling":[150],"(SPP)":[151],"aggregate":[153],"diverse":[154],"multiscale":[155],"features":[156],"exploring":[158],"contextual":[159],"information.":[160],"Experimental":[161],"results":[162],"quantitative":[165],"qualitative":[167],"evaluation":[168],"over":[169],"four":[170],"benchmark":[171],"data":[172],"sets":[173],"show":[174],"that":[175],"outperforms":[177],"state-of-the-art":[178],"methods.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
