{"id":"https://openalex.org/W4417169520","doi":"https://doi.org/10.1109/tgrs.2025.3641927","title":"DINet: Depth-Guided and Iterative Refinement Network for Salient Object Detection in Optical Remote Sensing Images","display_name":"DINet: Depth-Guided and Iterative Refinement Network for Salient Object Detection in Optical Remote Sensing Images","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4417169520","doi":"https://doi.org/10.1109/tgrs.2025.3641927"},"language":null,"primary_location":{"id":"doi:10.1109/tgrs.2025.3641927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3641927","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/A5102894788","display_name":"Xihang Hu","orcid":"https://orcid.org/0009-0004-8314-3740"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xihang Hu","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0004-8314-3740","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014712849","display_name":"Fuming Sun","orcid":"https://orcid.org/0000-0003-3932-2712"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuming Sun","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian Minzu University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-3932-2712","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian Minzu University, Dalian, China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404549","display_name":"Xiaoli Zhang","orcid":"https://orcid.org/0000-0001-8412-4956"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoli Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0001-8412-4956","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040292663","display_name":"Chuanmin Jia","orcid":"https://orcid.org/0000-0002-7418-6245"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanmin Jia","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7418-6245","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039832462","display_name":"Siwei Ma","orcid":"https://orcid.org/0000-0002-2731-5403"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Ma","raw_affiliation_strings":["National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","School of Computer Science, National Engineering Research Center of Visual Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2731-5403","affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, National Engineering Research Center of Visual Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36142165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9825000166893005,"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"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9825000166893005,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.008500000461935997,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.0010000000474974513,"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/salient","display_name":"Salient","score":0.7419000267982483},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5861999988555908},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5751000046730042},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5723999738693237},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.542900025844574},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4909000098705292},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.482699990272522},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45890000462532043},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41339999437332153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.805899977684021},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7419000267982483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6542999744415283},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6281999945640564},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5861999988555908},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5751000046730042},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5723999738693237},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.542900025844574},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4909000098705292},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.482699990272522},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45890000462532043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41339999437332153},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4090999960899353},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4043999910354614},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.40130001306533813},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.3846000134944916},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.38199999928474426},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3528999984264374},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.33970001339912415},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3361999988555908},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.2802000045776367},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C2779982483","wikidata":"https://www.wikidata.org/wiki/Q6094420","display_name":"Iterative refinement","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3641927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3641927","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":[],"awards":[{"id":"https://openalex.org/G1489220992","display_name":null,"funder_award_id":"62472067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1734521539","display_name":null,"funder_award_id":"20220203035SF","funder_id":"https://openalex.org/F4320327935","funder_display_name":"Weihai Science and Technology Development Program"},{"id":"https://openalex.org/G5298240273","display_name":null,"funder_award_id":"62472067","funder_id":"https://openalex.org/F4320327935","funder_display_name":"Weihai Science and Technology Development Program"},{"id":"https://openalex.org/G8200243780","display_name":null,"funder_award_id":"2022YFF0902400","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327935","display_name":"Weihai Science and Technology Development Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W2162681317","https://openalex.org/W2757094569","https://openalex.org/W2884347622","https://openalex.org/W2928165649","https://openalex.org/W2967085153","https://openalex.org/W3034684132","https://openalex.org/W3108948422","https://openalex.org/W3115654959","https://openalex.org/W3122006940","https://openalex.org/W3132018008","https://openalex.org/W3175515048","https://openalex.org/W3176152216","https://openalex.org/W3177052299","https://openalex.org/W3188023301","https://openalex.org/W3196874672","https://openalex.org/W3208677626","https://openalex.org/W3217306379","https://openalex.org/W4214506192","https://openalex.org/W4214561053","https://openalex.org/W4221138999","https://openalex.org/W4239147634","https://openalex.org/W4285215809","https://openalex.org/W4307778795","https://openalex.org/W4315631877","https://openalex.org/W4366082837","https://openalex.org/W4381716707","https://openalex.org/W4386824701","https://openalex.org/W4386902928","https://openalex.org/W4387197171","https://openalex.org/W4387968414","https://openalex.org/W4387968615","https://openalex.org/W4390872693","https://openalex.org/W4391305869","https://openalex.org/W4391582698","https://openalex.org/W4392346283","https://openalex.org/W4392694013","https://openalex.org/W4392824656","https://openalex.org/W4393405196","https://openalex.org/W4398151550","https://openalex.org/W4399563113","https://openalex.org/W4402727359","https://openalex.org/W4402727814","https://openalex.org/W4402753888","https://openalex.org/W4403780636","https://openalex.org/W4404521034","https://openalex.org/W4408028678","https://openalex.org/W4408065099","https://openalex.org/W4408935425","https://openalex.org/W4410616193","https://openalex.org/W4411867199","https://openalex.org/W4412404363","https://openalex.org/W4414359930"],"related_works":[],"abstract_inverted_index":{"Optical":[0],"remote":[1],"sensing":[2],"images":[3],"(ORSI)":[4],"feature":[5],"unique":[6],"scenes":[7],"and":[8,22,37,59,87,130,156,189],"complex":[9],"imaging":[10],"conditions.":[11],"Specifically,":[12],"they":[13],"exhibit":[14],"substantial":[15],"variations":[16],"in":[17,28,33,81,84],"object":[18,26],"scale,":[19],"quantity,":[20],"structure,":[21],"distribution.":[23],"Consequently,":[24],"salient":[25,90,97],"detection":[27],"ORSI":[29,34],"(ORSI-SOD)":[30],"is":[31],"pivotal":[32],"content":[35],"perception":[36],"understanding.":[38],"Additionally,":[39],"the":[40,43,47,85,94,123,153],"limitations":[41],"of":[42,49,89,96],"single":[44],"modality":[45],"impede":[46],"advancement":[48],"ORSI-SOD.":[50,65],"To":[51,92],"tackle":[52],"these":[53],"issues,":[54],"we":[55,73,99,135],"propose":[56,136],"a":[57,75],"Depth-guided":[58],"Iterative":[60,138],"Refinement":[61,140],"Network":[62],"(DINet)":[63],"for":[64,78],"By":[66,119],"incorporating":[67],"depth":[68,165],"information":[69],"as":[70],"auxiliary":[71],"cues,":[72,166],"introduce":[74],"multi-modal":[76],"strategy":[77],"ORSI-SOD,":[79],"resulting":[80],"improved":[82],"accuracy":[83],"localization":[86],"segmentation":[88],"objects.":[91],"address":[93],"variability":[95],"objects,":[98],"design":[100],"an":[101,137],"Aggregation":[102],"Perception":[103],"Enhancement":[104],"(APE)":[105],"Module.":[106],"This":[107],"module":[108,125],"integrates":[109],"complementary":[110],"cues":[111],"from":[112,164],"cross-modal":[113,121],"features":[114],"using":[115],"multi-dimensional":[116],"attention":[117],"mechanisms.":[118],"fostering":[120],"interactions,":[122],"APE":[124],"effectively":[126],"preserves":[127],"both":[128],"detail":[129],"spatial":[131],"location":[132],"information.":[133],"Furthermore,":[134],"Guidance":[139],"Decoder":[141],"to":[142,151],"handle":[143],"boundary":[144],"uncertainty.":[145],"The":[146],"decoder":[147],"uses":[148],"initial":[149],"predictions":[150,168],"guide":[152],"decoding":[154],"phase":[155],"iteratively":[157],"refine":[158],"results.":[159],"Simultaneously,":[160],"it":[161],"minimizes":[162],"noise":[163],"yielding":[167],"with":[169,175],"more":[170],"accurate":[171],"boundaries.":[172],"Experimental":[173],"comparisons":[174],"22":[176],"state-of-the-art":[177],"methods":[178],"show":[179],"that":[180],"DINet":[181],"exhibits":[182],"superior":[183],"performance":[184],"while":[185],"maintaining":[186],"lightweight":[187],"(11.98M)":[188],"real-time":[190],"(55FPS)":[191],"capabilities.":[192]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-12-09T00:00:00"}