{"id":"https://openalex.org/W4402260343","doi":"https://doi.org/10.1109/igarss53475.2024.10641901","title":"Adaptive Region Sampling Network For Polarimetric SAR Image Classification","display_name":"Adaptive Region Sampling Network For Polarimetric SAR Image Classification","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402260343","doi":"https://doi.org/10.1109/igarss53475.2024.10641901"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","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/A5102249298","display_name":"Junfei Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfei Shi","raw_affiliation_strings":["Xi&#x2019;an University of Technology,Shaanxi Key Laboratory for Network Computing and Security Technology,Department of Computer Science and Technology,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Technology,Shaanxi Key Laboratory for Network Computing and Security Technology,Department of Computer Science and Technology,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078449831","display_name":"Shanshan Ji","orcid":"https://orcid.org/0000-0001-9665-5287"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Ji","raw_affiliation_strings":["Xi&#x2019;an University of Technology,Shaanxi Key Laboratory for Network Computing and Security Technology,Department of Computer Science and Technology,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Technology,Shaanxi Key Laboratory for Network Computing and Security Technology,Department of Computer Science and Technology,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379980","display_name":"Haiyan Jin","orcid":"https://orcid.org/0009-0001-8745-3648"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyan Jin","raw_affiliation_strings":["Xi&#x2019;an University of Technology,Shaanxi Key Laboratory for Network Computing and Security Technology,Department of Computer Science and Technology,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Technology,Shaanxi Key Laboratory for Network Computing and Security Technology,Department of Computer Science and Technology,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089049162","display_name":"Haonan Su","orcid":"https://orcid.org/0000-0002-5481-1082"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haonan Su","raw_affiliation_strings":["Xi&#x2019;an University of Technology,Shaanxi Key Laboratory for Network Computing and Security Technology,Department of Computer Science and Technology,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Technology,Shaanxi Key Laboratory for Network Computing and Security Technology,Department of Computer Science and Technology,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047997045","display_name":"Zhiyong Lv","orcid":"https://orcid.org/0000-0003-2595-4794"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Lv","raw_affiliation_strings":["Xi&#x2019;an University of Technology,Shaanxi Key Laboratory for Network Computing and Security Technology,Department of Computer Science and Technology,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Technology,Shaanxi Key Laboratory for Network Computing and Security Technology,Department of Computer Science and Technology,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8608","last_page":"8611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9997000098228455,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.996999979019165,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.633326530456543},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5530110001564026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5235556960105896},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5218983292579651},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.5210096836090088},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5067673325538635},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5008916854858398},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4227589964866638},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40297752618789673},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33640748262405396},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1802058219909668},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07118427753448486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633326530456543},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5530110001564026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5235556960105896},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5218983292579651},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.5210096836090088},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5067673325538635},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5008916854858398},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4227589964866638},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40297752618789673},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33640748262405396},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1802058219909668},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07118427753448486},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2793189836","https://openalex.org/W2901374012","https://openalex.org/W2963943821","https://openalex.org/W3107540033","https://openalex.org/W3131779266","https://openalex.org/W4206420443","https://openalex.org/W4213151772","https://openalex.org/W4385976131","https://openalex.org/W4387885787","https://openalex.org/W6696267402"],"related_works":["https://openalex.org/W2026860918","https://openalex.org/W2035593284","https://openalex.org/W2612145225","https://openalex.org/W2225281849","https://openalex.org/W2161058488","https://openalex.org/W2324949438","https://openalex.org/W173514170","https://openalex.org/W4210966920","https://openalex.org/W2156233651","https://openalex.org/W2550009779"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"models":[2],"have":[3],"demonstrated":[4],"excellent":[5],"performance":[6],"for":[7,85,96,110],"polarimetric":[8],"SAR":[9],"image":[10,23,68,119],"classification.":[11],"However,":[12],"existing":[13],"approaches":[14],"generally":[15],"use":[16],"a":[17,55,65],"fixed":[18],"square":[19],"window":[20,107],"to":[21,48,90,113],"sample":[22],"blocks":[24],"as":[25],"the":[26,118],"network":[27,47],"input,":[28],"which":[29],"may":[30],"not":[31],"effectively":[32],"extract":[33],"various":[34],"terrain":[35,51],"objects.":[36],"To":[37],"alleviate":[38],"this":[39],"issue,":[40],"we":[41],"proposed":[42],"an":[43,103],"adaptive":[44,104],"region":[45],"sampling":[46,57,81,106],"learn":[49],"different":[50],"types":[52,98],"by":[53],"introducing":[54],"novel":[56],"scheme":[58],"with":[59],"varying":[60],"direction":[61],"and":[62,74,79,87,93,121,144],"scale.":[63],"Initially,":[64],"complex":[66],"PolSAR":[67,129],"is":[69,108],"segmented":[70],"into":[71],"homogeneous,":[72],"heterogeneous":[73,88],"boundary":[75,111,145],"regions.":[76],"Subsequently,":[77],"small-scale":[78],"large-scale":[80],"windows":[82],"are":[83],"designed":[84,109],"homogeneous":[86],"regions,":[89],"capture":[91],"local":[92],"global":[94],"features":[95],"two":[97],"of":[99],"regions":[100,112],"respectively.":[101],"Additionally,":[102],"directional":[105],"ensure":[114],"context":[115],"consistency":[116,143],"in":[117],"block":[120],"prevent":[122],"edge":[123],"confusion.":[124],"Experiments":[125],"conducted":[126],"on":[127],"real":[128],"data":[130],"sets":[131],"demonstrate":[132],"that":[133],"our":[134],"method":[135],"achieves":[136],"superior":[137],"classification":[138],"results,":[139],"providing":[140],"both":[141],"regional":[142],"preservation.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
