{"id":"https://openalex.org/W3090365196","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207217","title":"Discriminative Feature Pyramid Network For Object Detection In Remote Sensing Images","display_name":"Discriminative Feature Pyramid Network For Object Detection In Remote Sensing Images","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090365196","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207217","mag":"3090365196"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5113077861","display_name":"Xiaoqian Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoqian Zhu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education","Xidian University, Xi\u2019an, China","Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049776440","display_name":"Xiangrong Zhang","orcid":"https://orcid.org/0000-0003-0379-2042"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangrong Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education","Xidian University, Xi\u2019an, China","Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100667596","display_name":"Tianyang Zhang","orcid":"https://orcid.org/0000-0001-9079-7970"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyang Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education","Xidian University, Xi\u2019an, China","Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081629780","display_name":"Peng Zhu","orcid":"https://orcid.org/0000-0001-9616-5149"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education","Xidian University, Xi\u2019an, China","Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059262797","display_name":"Xu Tang","orcid":"https://orcid.org/0000-0003-1375-0778"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Tang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education","Xidian University, Xi\u2019an, China","Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100369793","display_name":"Chen Li","orcid":"https://orcid.org/0000-0002-0079-3106"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Li","raw_affiliation_strings":["School of Computer Science and Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5113077861"],"corresponding_institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.3773,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68386346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9983000159263611,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9923999905586243,"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/feature","display_name":"Feature (linguistics)","score":0.7649106383323669},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.747326135635376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7457177042961121},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7291477918624878},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.5728511214256287},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.5636810064315796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.560957133769989},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5148314833641052},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47759389877319336},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4620171785354614},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4172874987125397},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3689621686935425},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3501704931259155},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.350134015083313},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14937728643417358},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0783749520778656}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7649106383323669},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.747326135635376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7457177042961121},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7291477918624878},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.5728511214256287},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.5636810064315796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.560957133769989},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5148314833641052},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47759389877319336},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4620171785354614},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4172874987125397},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3689621686935425},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3501704931259155},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.350134015083313},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14937728643417358},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0783749520778656},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2102605133","https://openalex.org/W2512351403","https://openalex.org/W2565639579","https://openalex.org/W2613718673","https://openalex.org/W2750708956","https://openalex.org/W2779335303","https://openalex.org/W2789436332","https://openalex.org/W2796347433","https://openalex.org/W2800388963","https://openalex.org/W2920981979","https://openalex.org/W2923555896","https://openalex.org/W2939217524","https://openalex.org/W2950800384","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2963604034","https://openalex.org/W2964444661","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W6620707391","https://openalex.org/W6631782140","https://openalex.org/W6714138976","https://openalex.org/W6746123559","https://openalex.org/W6750227808","https://openalex.org/W6760699296","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2095705906","https://openalex.org/W2285052147","https://openalex.org/W2026121273","https://openalex.org/W2975200075","https://openalex.org/W2922421953","https://openalex.org/W2743258233","https://openalex.org/W3127217315","https://openalex.org/W1971759388","https://openalex.org/W2806866760","https://openalex.org/W2546942002"],"abstract_inverted_index":{"Multi-class":[0],"geospatial":[1],"object":[2,48],"detection":[3],"in":[4],"remote":[5],"sensing":[6],"images":[7],"suffer":[8],"great":[9],"challenges,":[10],"such":[11],"as":[12,91],"large":[13],"scales":[14],"variability":[15],"and":[16,40,71,120,140,149],"complex":[17,106],"background.":[18,107],"Although":[19],"feature":[20,60,73,94,109],"pyramid":[21,61],"network":[22,62],"(FPN)":[23],"can":[24],"alleviate":[25],"the":[26,36,52,78,83,102,113,123,131,137,143],"problem":[27],"of":[28,38,115,133],"scale":[29],"variation":[30],"to":[31,47,87,92,100],"some":[32],"extent,":[33],"it":[34],"causes":[35],"loss":[37],"spatial":[39],"semantic":[41,85,98],"information":[42,86,99,116,125],"which":[43],"is":[44],"not":[45],"conducive":[46],"location.":[49],"To":[50],"address":[51],"above":[53],"problem,":[54],"this":[55],"paper":[56],"proposes":[57],"a":[58,66,72],"discriminative":[59],"(DFPN)":[63],"by":[64,105,147],"introducing":[65],"global":[67,79],"guidance":[68,80],"module":[69,75,81,111],"(GGM)":[70],"aggregation":[74,110],"(FAM).":[76],"Specifically,":[77],"delivers":[82],"high-level":[84],"lower":[88],"layers,":[89],"so":[90],"obtain":[93],"maps":[95],"with":[96],"stronger":[97],"eliminate":[101],"interference":[103],"caused":[104],"The":[108],"enhances":[112],"interflow":[114],"between":[117],"different":[118],"layers":[119],"better":[121],"captures":[122],"discrimination":[124],"at":[126],"each":[127],"layer.":[128],"We":[129],"validate":[130],"effectiveness":[132],"our":[134],"method":[135],"on":[136],"NWPU":[138],"VHR-10":[139],"RSOD":[141],"datasets,":[142],"results":[144],"outperform":[145],"baseline":[146],"2.06":[148],"3.88":[150],"points":[151],"respectively.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
