{"id":"https://openalex.org/W4390417655","doi":"https://doi.org/10.1109/icait59485.2023.10367263","title":"Application of Remote Sensing Image Processing for Classification and Recognition","display_name":"Application of Remote Sensing Image Processing for Classification and Recognition","publication_year":2023,"publication_date":"2023-10-13","ids":{"openalex":"https://openalex.org/W4390417655","doi":"https://doi.org/10.1109/icait59485.2023.10367263"},"language":"en","primary_location":{"id":"doi:10.1109/icait59485.2023.10367263","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icait59485.2023.10367263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on Advanced Infocomm Technology (ICAIT)","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/A5101800179","display_name":"Xiaolong Shi","orcid":"https://orcid.org/0000-0002-6838-3728"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaolong Shi","raw_affiliation_strings":["College of Computer Science and Engineering, Chongqing University of Technology,Chongqing,China","College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Chongqing University of Technology,Chongqing,China","institution_ids":["https://openalex.org/I50632499"]},{"raw_affiliation_string":"College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045624998","display_name":"Dan Dan Huang","orcid":"https://orcid.org/0000-0003-2878-7469"},"institutions":[{"id":"https://openalex.org/I4210145825","display_name":"China Academy Of Machinery Science & Technology (China)","ror":"https://ror.org/04gpxrn68","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210145825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Huang","raw_affiliation_strings":["China Research and Development Academy of Machinery Equipment,Beijing,China","China Research and Development Academy of Machinery Equipment, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Research and Development Academy of Machinery Equipment,Beijing,China","institution_ids":["https://openalex.org/I4210145825"]},{"raw_affiliation_string":"China Research and Development Academy of Machinery Equipment, Beijing, China","institution_ids":["https://openalex.org/I4210145825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408983","display_name":"Wenjie Li","orcid":"https://orcid.org/0000-0002-7360-8864"},"institutions":[{"id":"https://openalex.org/I4210145825","display_name":"China Academy Of Machinery Science & Technology (China)","ror":"https://ror.org/04gpxrn68","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210145825"]},{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Li","raw_affiliation_strings":["China Research and Development Academy of Machinery Equipment,Beijing,China","China Research and Development Academy of Machinery Equipment, Beijing, China","Chongqing high-tech Zone Pegasus Innovation Institute, Chongqing University of Technology, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"China Research and Development Academy of Machinery Equipment,Beijing,China","institution_ids":["https://openalex.org/I4210145825"]},{"raw_affiliation_string":"China Research and Development Academy of Machinery Equipment, Beijing, China","institution_ids":["https://openalex.org/I4210145825"]},{"raw_affiliation_string":"Chongqing high-tech Zone Pegasus Innovation Institute, Chongqing University of Technology, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076871023","display_name":"Xianjie Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianjie Wang","raw_affiliation_strings":["College of Computer Science and Engineering, Chongqing University of Technology,Chongqing,China","College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Chongqing University of Technology,Chongqing,China","institution_ids":["https://openalex.org/I50632499"]},{"raw_affiliation_string":"College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101800179"],"corresponding_institution_ids":["https://openalex.org/I50632499"],"apc_list":null,"apc_paid":null,"fwci":0.1623,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54970368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"43","issue":null,"first_page":"357","last_page":"364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9779000282287598,"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":0.9779000282287598,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9592999815940857,"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"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9311000108718872,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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":0.7902392148971558},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6865307688713074},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6188117265701294},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5376004576683044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5140884518623352},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.502324104309082},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.441150039434433},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.43444958329200745},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4341508448123932},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.41777199506759644},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07738474011421204}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7902392148971558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6865307688713074},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6188117265701294},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5376004576683044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5140884518623352},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.502324104309082},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.441150039434433},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.43444958329200745},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4341508448123932},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.41777199506759644},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07738474011421204},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icait59485.2023.10367263","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icait59485.2023.10367263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on Advanced Infocomm Technology (ICAIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2102605133","https://openalex.org/W2193145675","https://openalex.org/W2308318555","https://openalex.org/W2314029052","https://openalex.org/W2909867351","https://openalex.org/W2963037989","https://openalex.org/W2992240579","https://openalex.org/W2997747012","https://openalex.org/W3106250896","https://openalex.org/W3158377203","https://openalex.org/W4285055032","https://openalex.org/W4285251596","https://openalex.org/W4324080606","https://openalex.org/W4324080615","https://openalex.org/W4379279727"],"related_works":["https://openalex.org/W2378757965","https://openalex.org/W4224903346","https://openalex.org/W1593262897","https://openalex.org/W2372869593","https://openalex.org/W2375786911","https://openalex.org/W2384194537","https://openalex.org/W2031011156","https://openalex.org/W1991935520","https://openalex.org/W2368745429","https://openalex.org/W2067940999"],"abstract_inverted_index":{"Aiming":[0],"at":[1,95],"the":[2,24,47,58,64,85,93,96,101,111,114,119,123,127,134,146,161,180,195,210],"difficulties":[3],"in":[4,9,84,106,163],"object":[5,37],"detection":[6,38,129,141,164],"and":[7,23,91,148,159,171],"recognition":[8],"remote":[10,34,107],"sensing":[11,35,108],"images":[12,109],"caused":[13,166],"by":[14,74,167],"high":[15],"background":[16],"complexity,":[17],"large":[18],"scale":[19],"variations":[20],"of":[21,26,66,71,78,103,122,133,176,191,199],"targets,":[22],"presence":[25],"numerous":[27],"small":[28,72],"objects,":[29],"an":[30,189],"improved":[31],"method":[32,45,178,212],"for":[33],"image":[36],"based":[39,50],"on":[40,51,110,118,179,208],"YOLOv7-tiny":[41],"is":[42,136,188],"proposed.":[43],"This":[44],"combines":[46],"loss":[48,60],"function":[49,61],"normalized":[52],"Gaussian":[53],"Wasserstein":[54],"distance":[55],"(NWD)":[56],"with":[57,138],"CIoU":[59],"to":[62,68,99,116,151,156,194,203],"address":[63],"problem":[65],"sensitivity":[67],"positional":[69],"deviation":[70],"objects":[73],"IoU-Loss.":[75],"The":[76,173],"addition":[77],"a":[79,139],"global":[80,97],"attention":[81],"mechanism":[82],"(GAM)":[83],"backbone":[86],"network":[87],"reduces":[88],"information":[89],"diffusion":[90],"enhances":[92],"interaction":[94],"dimension":[98],"mitigate":[100],"interference":[102],"complex":[104],"backgrounds":[105],"model,":[112],"enabling":[113],"model":[115,135],"focus":[117],"feature":[120],"extraction":[121],"desired":[124],"targets.":[125],"Finally,":[126],"coupled":[128],"head":[130,142],"(Coupled":[131],"Head)":[132],"replaced":[137],"decoupled":[140],"(Decoupled":[143],"Head),":[144],"allowing":[145],"classification":[147,170],"regression":[149],"tasks":[150],"output":[152],"from":[153],"different":[154],"branches":[155],"achieve":[157],"decoupling":[158],"avoid":[160],"decrease":[162],"accuracy":[165,198],"conflicts":[168],"between":[169],"regression.":[172],"experimental":[174],"results":[175],"this":[177],"public":[181],"dataset":[182],"DIOR":[183],"achieved":[184],"88.73%":[185],"accuracy,":[186],"which":[187],"improvement":[190],"1.78%":[192],"compared":[193,202],"unimproved":[196],"method's":[197],"86.95%.":[200],"Furthermore,":[201],"other":[204],"researchers'":[205],"methods":[206],"tested":[207],"DIOR,":[209],"proposed":[211],"also":[213],"shows":[214],"improvement,":[215],"thus":[216],"validating":[217],"its":[218],"effectiveness.":[219]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
