{"id":"https://openalex.org/W4225872341","doi":"https://doi.org/10.1109/tgrs.2022.3166352","title":"BA_EnCaps: Dense Capsule Architecture for Thermal Scrutiny","display_name":"BA_EnCaps: Dense Capsule Architecture for Thermal Scrutiny","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4225872341","doi":"https://doi.org/10.1109/tgrs.2022.3166352"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3166352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3166352","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/A5084651957","display_name":"Qurratulain Safder","orcid":"https://orcid.org/0000-0003-0608-3129"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qurratulain Safder","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-0608-3129","affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112120585","display_name":"Fangrong Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangrong Zhou","raw_affiliation_strings":["Joint Laboratory of Power Remote Sensing Technology, Electric Power Research Institute, Yunnan Power Grid Company Ltd., Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Joint Laboratory of Power Remote Sensing Technology, Electric Power Research Institute, Yunnan Power Grid Company Ltd., Kunming, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083627327","display_name":"Zezhong Zheng","orcid":"https://orcid.org/0000-0002-5615-5015"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zezhong Zheng","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-5615-5015","affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, China","institution_ids":["https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018139552","display_name":"Jun Xia","orcid":"https://orcid.org/0000-0001-8133-2346"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xia","raw_affiliation_strings":["State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101601194","display_name":"Yi Ma","orcid":"https://orcid.org/0000-0003-1832-8920"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Ma","raw_affiliation_strings":["Joint Laboratory of Power Remote Sensing Technology, Electric Power Research Institute, Yunnan Power Grid Company Ltd., Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Joint Laboratory of Power Remote Sensing Technology, Electric Power Research Institute, Yunnan Power Grid Company Ltd., Kunming, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058815931","display_name":"Bo Wu","orcid":"https://orcid.org/0000-0002-8911-1625"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wu","raw_affiliation_strings":["Joint Laboratory of Power Remote Sensing Technology, Electric Power Research Institute, Yunnan Power Grid Company Ltd., Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Joint Laboratory of Power Remote Sensing Technology, Electric Power Research Institute, Yunnan Power Grid Company Ltd., Kunming, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048589278","display_name":"Mingcang Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139481","display_name":"Science and Technology Department of Sichuan Province","ror":"https://ror.org/04323m874","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210139481"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingcang Zhu","raw_affiliation_strings":["Department of Natural Resources of Sichuan Province, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Natural Resources of Sichuan Province, Chengdu, China","institution_ids":["https://openalex.org/I4210139481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082449442","display_name":"Yong He","orcid":"https://orcid.org/0009-0000-5390-2655"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong He","raw_affiliation_strings":["Sichuan Research Institute for Ecosystem Restoration and Geohazard Prevention, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan Research Institute for Ecosystem Restoration and Geohazard Prevention, Chengdu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023059086","display_name":"Ling Jiang","orcid":"https://orcid.org/0000-0001-5175-6615"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Jiang","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2061,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.76693284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10555","display_name":"Fire effects on ecosystems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10555","display_name":"Fire effects on ecosystems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9854999780654907,"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/segmentation","display_name":"Segmentation","score":0.6877915859222412},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6672419309616089},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5750008225440979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5451284646987915},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4964140057563782},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4877482056617737},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4594801664352417},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.44464319944381714},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4195341467857361},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37453198432922363},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15297886729240417},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.15114670991897583},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13633760809898376},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09720006585121155}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6877915859222412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6672419309616089},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5750008225440979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5451284646987915},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4964140057563782},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4877482056617737},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4594801664352417},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.44464319944381714},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4195341467857361},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37453198432922363},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15297886729240417},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.15114670991897583},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13633760809898376},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09720006585121155},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3166352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3166352","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":[{"id":"https://metadata.un.org/sdg/16","score":0.47999998927116394,"display_name":"Peace, Justice and strong institutions"},{"id":"https://metadata.un.org/sdg/10","score":0.44999998807907104,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3425607070","display_name":null,"funder_award_id":"2014SWG04","funder_id":"https://openalex.org/F4320329223","funder_display_name":"State Key Laboratory of Water Resources and Hydropower Engineering Science"},{"id":"https://openalex.org/G4638688199","display_name":null,"funder_award_id":"2020YFSY0041","funder_id":"https://openalex.org/F4320336596","funder_display_name":"Key Research and Development Program of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320329223","display_name":"State Key Laboratory of Water Resources and Hydropower Engineering Science","ror":null},{"id":"https://openalex.org/F4320336596","display_name":"Key Research and Development Program of Sichuan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1745334888","https://openalex.org/W1903029394","https://openalex.org/W1966272358","https://openalex.org/W1983364832","https://openalex.org/W2005746745","https://openalex.org/W2017926030","https://openalex.org/W2071560486","https://openalex.org/W2076163444","https://openalex.org/W2077707288","https://openalex.org/W2095948312","https://openalex.org/W2099964454","https://openalex.org/W2100588357","https://openalex.org/W2103219856","https://openalex.org/W2126453957","https://openalex.org/W2159896542","https://openalex.org/W2168599826","https://openalex.org/W2527290311","https://openalex.org/W2554685724","https://openalex.org/W2577537809","https://openalex.org/W2729813113","https://openalex.org/W2735654840","https://openalex.org/W2792318059","https://openalex.org/W2797472209","https://openalex.org/W2797712511","https://openalex.org/W2799675047","https://openalex.org/W2884851559","https://openalex.org/W2892199264","https://openalex.org/W2897044026","https://openalex.org/W2897221321","https://openalex.org/W2905880828","https://openalex.org/W2910121883","https://openalex.org/W2913160612","https://openalex.org/W2922202880","https://openalex.org/W2939571759","https://openalex.org/W2963446712","https://openalex.org/W2963703618","https://openalex.org/W2963773814","https://openalex.org/W2972093541","https://openalex.org/W2975479989","https://openalex.org/W2999446243","https://openalex.org/W2999715894","https://openalex.org/W3003452346","https://openalex.org/W3007602269","https://openalex.org/W3016244469","https://openalex.org/W3017198067","https://openalex.org/W3036506870","https://openalex.org/W3045606376","https://openalex.org/W3088603129","https://openalex.org/W3093815437","https://openalex.org/W3100321043","https://openalex.org/W3119287538","https://openalex.org/W3127939367","https://openalex.org/W3132455321","https://openalex.org/W3134025014","https://openalex.org/W3158505286","https://openalex.org/W3175322496","https://openalex.org/W3176110204","https://openalex.org/W3198090248","https://openalex.org/W3205657035","https://openalex.org/W3206037703","https://openalex.org/W3214021476","https://openalex.org/W4206043725","https://openalex.org/W6681023366","https://openalex.org/W6684191040","https://openalex.org/W6743446608","https://openalex.org/W6750207810"],"related_works":["https://openalex.org/W2347731544","https://openalex.org/W2411367154","https://openalex.org/W4223527717","https://openalex.org/W2790662084","https://openalex.org/W4313142172","https://openalex.org/W2386894152","https://openalex.org/W2792520941","https://openalex.org/W2960184797","https://openalex.org/W4285827401","https://openalex.org/W2033000528"],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"integrated":[2],"with":[3,80,114,146,187],"deep":[4],"learning":[5,44],"(DL)":[6],"improves":[7],"wildfire":[8,55,82,198],"assessment.":[9],"The":[10,66,84,99,120,134,162],"research":[11,49,68,135],"has":[12],"been":[13,36],"done":[14],"to":[15,38,71,107,137,142],"scrutinize":[16],"the":[17,32,48,54,60,73,81,95,111,139,144,155,159,180],"areas":[18],"affected":[19,33],"by":[20,177],"disastrous":[21],"wildfires":[22],"in":[23,53,153],"Yunnan":[24],"using":[25,125],"DL.":[26],"Wildfire":[27],"identification":[28],"and":[29,41,57,92,109,129,175,191],"demarcation":[30],"of":[31,59,76,94,118],"area":[34,97],"have":[35],"limited":[37],"primitive":[39],"thresholding":[40],"outdated":[42],"machine":[43],"classification":[45],"techniques.":[46],"Therefore,":[47],"work":[50],"incorporated":[51],"DL":[52,78],"scrutiny,":[56],"several":[58],"most":[61],"important":[62],"considerations":[63],"are":[64],"investigated.":[65],"proposed":[67,85,163],"objective":[69],"is":[70,105,122,185],"exploit":[72],"recent":[74],"advancement":[75],"capsule-based":[77],"together":[79],"domain.":[83],"dense":[86,101],"structure":[87],"provides":[88],"highly":[89],"efficient":[90],"detection":[91],"segmentation":[93,140,167,189],"burned":[96,112,160],"(BA).":[98],"BA":[100,145],"capsule":[102],"network":[103],"(BA_EnCaps)":[104],"employed":[106],"extract":[108],"localize":[110],"zone":[113],"an":[115],"overall":[116],"accuracy":[117,152],"98%.":[119],"model":[121,141],"evaluated":[123],"quantitatively":[124],"accuracy,":[126],"binary_cross-entropy,":[127],"dice_loss,":[128],"mean":[130],"square":[131],"error":[132],"(mse).":[133],"aims":[136],"utilize":[138],"estimate":[143],"great":[147],"results.":[148],"BA-EnCaps":[149],"shows":[150,192],"excellent":[151],"discriminating":[154],"spectral":[156],"indices":[157],"for":[158],"zone.":[161],"method":[164],"surpasses":[165],"other":[166],"benchmark":[168],"techniques":[169,190],"(U-Net,":[170],"U-Net3p,":[171],"SegCaps,":[172],"Deep":[173],"U-Net,":[174],"U-Net+)":[176],"substantially":[178],"lessening":[179],"computing":[181],"power.":[182],"Finally,":[183],"BA_EnCaps":[184],"compared":[186],"standard":[188],"that":[193],"DL-based":[194],"models":[195],"can":[196],"assess":[197],"better":[199],"than":[200],"conventional":[201],"algorithms.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
