{"id":"https://openalex.org/W4408345904","doi":"https://doi.org/10.1109/icassp49660.2025.10888518","title":"Spatio-Semantic Prompt guided Adaptive Segment Anything for Remote Sensing Change Detection","display_name":"Spatio-Semantic Prompt guided Adaptive Segment Anything for Remote Sensing Change Detection","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408345904","doi":"https://doi.org/10.1109/icassp49660.2025.10888518"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5104180468","display_name":"Shenglong Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shenglong Hu","raw_affiliation_strings":["NUIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NUIST","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450850","display_name":"Zhidong Han","orcid":"https://orcid.org/0000-0002-4990-2211"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhidong Han","raw_affiliation_strings":["NUIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NUIST","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019485232","display_name":"Gang Dong","orcid":"https://orcid.org/0000-0002-9515-6643"},"institutions":[{"id":"https://openalex.org/I4210125930","display_name":"Ionic Systems (United States)","ror":"https://ror.org/02bax5p58","country_code":"US","type":"company","lineage":["https://openalex.org/I4210125930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gang Dong","raw_affiliation_strings":["IEIT Systems Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IEIT Systems Co., Ltd","institution_ids":["https://openalex.org/I4210125930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112801316","display_name":"Lingyan Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125930","display_name":"Ionic Systems (United States)","ror":"https://ror.org/02bax5p58","country_code":"US","type":"company","lineage":["https://openalex.org/I4210125930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lingyan Liang","raw_affiliation_strings":["IEIT Systems Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IEIT Systems Co., Ltd","institution_ids":["https://openalex.org/I4210125930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013433372","display_name":"Dongchao Wen","orcid":"https://orcid.org/0000-0001-7311-1842"},"institutions":[{"id":"https://openalex.org/I4210125930","display_name":"Ionic Systems (United States)","ror":"https://ror.org/02bax5p58","country_code":"US","type":"company","lineage":["https://openalex.org/I4210125930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongchao Wen","raw_affiliation_strings":["IEIT Systems Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IEIT Systems Co., Ltd","institution_ids":["https://openalex.org/I4210125930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075412755","display_name":"Kaihua Zhang","orcid":"https://orcid.org/0000-0002-1613-3401"},"institutions":[{"id":"https://openalex.org/I4210125930","display_name":"Ionic Systems (United States)","ror":"https://ror.org/02bax5p58","country_code":"US","type":"company","lineage":["https://openalex.org/I4210125930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaihua Zhang","raw_affiliation_strings":["IEIT Systems Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IEIT Systems Co., Ltd","institution_ids":["https://openalex.org/I4210125930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85551879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.8888999819755554,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.8888999819755554,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.7960000038146973,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.782800018787384,"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/computer-science","display_name":"Computer science","score":0.6676108837127686},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.622033417224884},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3641398549079895},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2999776005744934},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11716970801353455}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6676108837127686},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.622033417224884},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3641398549079895},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2999776005744934},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11716970801353455}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1522973599","https://openalex.org/W2295107390","https://openalex.org/W2891248708","https://openalex.org/W2908320224","https://openalex.org/W3027225766","https://openalex.org/W3036453075","https://openalex.org/W3120467244","https://openalex.org/W3180045188","https://openalex.org/W4226305459","https://openalex.org/W4229002315","https://openalex.org/W4312509967","https://openalex.org/W4312549298","https://openalex.org/W4312815172","https://openalex.org/W4318767292","https://openalex.org/W4367663360","https://openalex.org/W4386159059","https://openalex.org/W4390874575","https://openalex.org/W4392903787","https://openalex.org/W4392910507","https://openalex.org/W4393207086","https://openalex.org/W6682889407","https://openalex.org/W6757817989","https://openalex.org/W6768586863","https://openalex.org/W6791353385","https://openalex.org/W6803579165"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345"],"abstract_inverted_index":{"Existing":[0],"leading":[1,53],"remote":[2],"sensing":[3],"change":[4,119],"detection":[5],"(RSCD)":[6],"often":[7],"takes":[8],"a":[9,15,55,67,125,160,172,197],"semantic-agnostic":[10],"learning":[11],"paradigm,":[12],"which":[13],"uses":[14],"binary":[16],"ground-truth":[17],"mask":[18,58,89,163,174],"as":[19,80,135],"supervision":[20],"for":[21,77,99],"model":[22],"training.":[23],"Despite":[24],"the":[25,30,95,105,117,141,148,155,168,181,186,190,204],"demonstrated":[26],"success,":[27],"due":[28],"to":[29,45,54,93,115,138,153,179],"intrinsic":[31],"characteristic":[32],"of":[33,185,199],"extremely":[34],"complicated":[35],"scene":[36],"changes":[37],"in":[38],"RS":[39],"images,":[40],"this":[41,62,64],"paradigm":[42],"is":[43,177],"prone":[44],"be":[46],"misled":[47],"by":[48,167],"irrelevant":[49],"semantic":[50,97,108,120,183],"category":[51],"changes,":[52],"noisy":[56],"CD":[57,162,170,192],"prediction.":[59,164],"To":[60],"address":[61],"issue,":[63],"paper":[65],"presents":[66],"Spatio-Semantic":[68],"Prompt":[69],"(SSP)":[70],"guided":[71,166],"adaptive":[72],"Segment":[73],"Anything":[74],"Model":[75],"(SAM)":[76],"RSCD,":[78],"dubbed":[79],"SSP-SAM.":[81],"The":[82],"SSP-SAM":[83,206],"introduces":[84],"sparse":[85],"textual":[86,107],"and":[87],"dense":[88,127],"prompts":[90],"into":[91],"SAM":[92,149],"encode":[94,104],"task-specific":[96],"knowledge":[98,109],"RSCD.":[100],"Specifically,":[101],"we":[102,123,146],"first":[103],"powerful":[106],"using":[110],"Contrastive":[111],"Language-Image":[112],"Pre-training":[113],"(CLIP)":[114],"determine":[116],"desired":[118,142],"category.":[121],"Then,":[122],"design":[124],"spatial":[126],"prompt":[128,136,157],"module":[129],"that":[130,203],"yields":[131],"an":[132,151],"attention":[133,175],"map":[134],"features":[137],"further":[139],"refine":[140],"changed":[143,187],"regions.":[144],"Subsequently,":[145],"fine-tune":[147],"through":[150],"adaptor":[152],"integrate":[154],"spatial-semantic":[156],"cues,":[158],"yielding":[159],"coarse":[161,169],"Finally,":[165],"mask,":[171],"multi-scale":[173],"mechanism":[176],"adopted":[178],"learn":[180],"refined":[182],"representations":[184],"targets,":[188],"predicting":[189],"accurate":[191],"mask.":[193],"Extensive":[194],"experiments":[195],"on":[196],"variety":[198],"benchmark":[200],"datasets":[201],"demonstrate":[202],"proposed":[205],"achieves":[207],"state-of-the-art":[208],"performance.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}