{"id":"https://openalex.org/W4285116607","doi":"https://doi.org/10.1109/lgrs.2022.3187049","title":"Pixel-Adaptive Field-of-View for Remote Sensing Image Segmentation","display_name":"Pixel-Adaptive Field-of-View for Remote Sensing Image Segmentation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285116607","doi":"https://doi.org/10.1109/lgrs.2022.3187049"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3187049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3187049","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5102552653","display_name":"Feng Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Mu","raw_affiliation_strings":["School of Optics and Photonics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448292","display_name":"Jianan Li","orcid":"https://orcid.org/0000-0002-6936-9485"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianan Li","raw_affiliation_strings":["School of Optics and Photonics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015521327","display_name":"Ning Shen","orcid":"https://orcid.org/0000-0002-5592-4433"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Shen","raw_affiliation_strings":["School of Optics and Photonics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065602518","display_name":"Shiqi Huang","orcid":"https://orcid.org/0000-0003-1348-3817"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqi Huang","raw_affiliation_strings":["School of Optics and Photonics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074709337","display_name":"Yongzhuo Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134810","display_name":"Chongqing Institute of Geology and Mineral Resources","ror":"https://ror.org/03epp6210","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210134810"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongzhuo Pan","raw_affiliation_strings":["Chongqing Institute of Geology and Mineral Resources, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Institute of Geology and Mineral Resources, Chongqing, China","institution_ids":["https://openalex.org/I4210134810"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019242095","display_name":"Tingfa Xu","orcid":"https://orcid.org/0000-0001-5452-2662"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingfa Xu","raw_affiliation_strings":["School of Optics and Photonics and the Chongqing Innovation Center, Beijing Institute of Technology, Chongqing, China","Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Optics and Photonics and the Chongqing Innovation Center, Beijing Institute of Technology, Chongqing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102552653"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":1.1005,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79557237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9980999827384949,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7894206643104553},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7730923891067505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7077529430389404},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6477185487747192},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6342267990112305},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5454930663108826},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5255662202835083},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4946572482585907},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48748159408569336},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4408093988895416},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4183269739151001},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3770439326763153},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3389394283294678},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14614734053611755},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10984688997268677}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7894206643104553},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7730923891067505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7077529430389404},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6477185487747192},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6342267990112305},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5454930663108826},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5255662202835083},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4946572482585907},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48748159408569336},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4408093988895416},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4183269739151001},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3770439326763153},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3389394283294678},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14614734053611755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10984688997268677},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/lgrs.2022.3187049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3187049","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1986494726","https://openalex.org/W2194775991","https://openalex.org/W2560023338","https://openalex.org/W2574517058","https://openalex.org/W2807974043","https://openalex.org/W2883105896","https://openalex.org/W2910628332","https://openalex.org/W2955058313","https://openalex.org/W2974770574","https://openalex.org/W2981689412","https://openalex.org/W2982220924","https://openalex.org/W2987380814","https://openalex.org/W3003882269","https://openalex.org/W3034421924","https://openalex.org/W3085801037","https://openalex.org/W3107634219","https://openalex.org/W3127230150","https://openalex.org/W3165563493","https://openalex.org/W3205865791","https://openalex.org/W4226013274","https://openalex.org/W6640295612","https://openalex.org/W6732491385","https://openalex.org/W6739696289","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W4246352526","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Mineral":[0],"segmentation":[1,14,123],"of":[2,54,68,89,135,144,170,179],"satellite":[3],"imagery":[4],"is":[5],"crucial":[6],"to":[7,48,64,125,140,158],"mining":[8],"surveying":[9],"and":[10,112,129],"monitoring.":[11],"Conventional":[12],"deep":[13],"networks":[15],"extract":[16],"features":[17,43,81],"at":[18,82],"every":[19],"position":[20,84],"with":[21,44,95],"a":[22,58,69,74,86,109,150,167],"fixed":[23],"field-of-view.":[24],"Nevertheless,":[25],"the":[26,66,80,90,102,133,142],"rich":[27],"content":[28],"in":[29,73,108,130,138,161],"large":[30],"mineral":[31,154],"scenes,":[32],"which":[33],"causes":[34],"dramatically":[35],"different":[36,96],"local":[37],"characteristics":[38],"across":[39],"regions,":[40],"may":[41],"require":[42],"spatially":[45],"varying":[46],"field-of-view":[47,67],"achieve":[49],"accurate":[50],"segmentation.":[51,136],"In":[52],"light":[53],"this,":[55],"we":[56,147],"propose":[57],"novel":[59],"Pixel-Adaptive":[60],"Field-of-View":[61],"(PA-FoV)":[62],"module":[63,106,173],"adjust":[65],"given":[70],"feature":[71,127],"map":[72],"pixel-wise":[75],"manner.":[76],"Specifically,":[77],"it":[78],"refines":[79],"each":[83],"by":[85],"weighted":[87],"aggregation":[88],"outputs":[91],"from":[92],"atrous":[93],"convolutions":[94],"dilation":[97],"rates":[98],"adaptively":[99],"depending":[100],"on":[101,177],"position-specific":[103],"content.":[104],"The":[105],"works":[107],"plug-and-play":[110],"manner":[111],"can":[113],"be":[114],"flexibly":[115],"inserted":[116],"into":[117],"any":[118],"arbitrary":[119],"backbone":[120],"network":[121],"or":[122],"head,":[124],"boost":[126],"representation":[128],"turn":[131],"improve":[132],"result":[134],"Moreover,":[137],"order":[139],"mitigate":[141],"scarcity":[143],"labeled":[145],"data,":[146],"further":[148],"establish":[149],"benchmark":[151],"remote":[152],"sensing":[153],"dataset,":[155],"dubbed":[156],"RSMI,":[157],"facilitate":[159],"research":[160],"this":[162],"field.":[163],"Extensive":[164],"experiments":[165],"show":[166],"simple":[168],"addition":[169],"our":[171],"PA-FoV":[172],"provides":[174],"solid":[175],"improvements":[176],"top":[178],"strong":[180],"baselines,":[181],"achieving":[182],"state-of-the-art":[183],"performance.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
