{"id":"https://openalex.org/W4392903625","doi":"https://doi.org/10.1109/icassp48485.2024.10448191","title":"Unsupervised Remote Sensing Haze Removal Based on Saliency-Guided Transmission Refinement","display_name":"Unsupervised Remote Sensing Haze Removal Based on Saliency-Guided Transmission Refinement","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903625","doi":"https://doi.org/10.1109/icassp48485.2024.10448191"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10448191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10448191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 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/A5001641383","display_name":"Ruohui Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruohui Zheng","raw_affiliation_strings":["Beijing Normal University,School of Artificial Intelligence,Beijing,China,100875"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University,School of Artificial Intelligence,Beijing,China,100875","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087779583","display_name":"Libao Zhang","orcid":"https://orcid.org/0000-0002-0888-2330"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libao Zhang","raw_affiliation_strings":["Beijing Normal University,School of Artificial Intelligence,Beijing,China,100875"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University,School of Artificial Intelligence,Beijing,China,100875","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001641383"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.2437,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45889533,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4080","last_page":"4084"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9993000030517578,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9976999759674072,"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":0.7917414903640747},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.6671673655509949},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.62276291847229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6055514216423035},{"id":"https://openalex.org/keywords/haze","display_name":"Haze","score":0.5572818517684937},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4954184293746948},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.47189292311668396},{"id":"https://openalex.org/keywords/information-loss","display_name":"Information loss","score":0.4369688034057617},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4265674650669098},{"id":"https://openalex.org/keywords/transmission-loss","display_name":"Transmission loss","score":0.421626478433609},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4198872148990631},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.417513370513916},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.415515273809433},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3442035913467407},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3304973542690277},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.059895455837249756},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05930626392364502}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7917414903640747},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.6671673655509949},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.62276291847229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6055514216423035},{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.5572818517684937},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4954184293746948},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.47189292311668396},{"id":"https://openalex.org/C2988416141","wikidata":"https://www.wikidata.org/wiki/Q6031139","display_name":"Information loss","level":2,"score":0.4369688034057617},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4265674650669098},{"id":"https://openalex.org/C2779753020","wikidata":"https://www.wikidata.org/wiki/Q19929660","display_name":"Transmission loss","level":2,"score":0.421626478433609},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4198872148990631},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.417513370513916},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.415515273809433},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3442035913467407},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3304973542690277},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.059895455837249756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05930626392364502},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10448191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10448191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3872703625","display_name":null,"funder_award_id":"41771407","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5547827018","display_name":null,"funder_award_id":"61571050","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7728640597","display_name":null,"funder_award_id":"62271060","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W1971693194","https://openalex.org/W2035773017","https://openalex.org/W2047670868","https://openalex.org/W2098985238","https://openalex.org/W2118246710","https://openalex.org/W2128254161","https://openalex.org/W2141983208","https://openalex.org/W2256362396","https://openalex.org/W2467473805","https://openalex.org/W2515866431","https://openalex.org/W2918431349","https://openalex.org/W2962850830","https://openalex.org/W2985194834","https://openalex.org/W2998249728","https://openalex.org/W3088611441","https://openalex.org/W3105577662","https://openalex.org/W3105901005","https://openalex.org/W3133769291","https://openalex.org/W3135542706","https://openalex.org/W3207200417","https://openalex.org/W3207737840","https://openalex.org/W4226078259","https://openalex.org/W4292793997","https://openalex.org/W4294891478","https://openalex.org/W4312625691","https://openalex.org/W4378804917","https://openalex.org/W4381891757"],"related_works":["https://openalex.org/W2397673276","https://openalex.org/W2318437963","https://openalex.org/W2348696601","https://openalex.org/W2394444438","https://openalex.org/W2377355001","https://openalex.org/W2387386748","https://openalex.org/W2377493372","https://openalex.org/W2388134306","https://openalex.org/W2371905190","https://openalex.org/W2380004640"],"abstract_inverted_index":{"Haze":[0],"causes":[1],"information":[2],"loss":[3,42,97,101,107,121],"and":[4,23,41,80,102],"quality":[5],"degradation":[6],"in":[7,34,38,46],"remote":[8,47,67],"sensing":[9,48,68],"images.":[10,49,69],"Unsupervised":[11],"learning-based":[12],"dehazing":[13],"methods":[14],"aim":[15],"to":[16,137],"reduce":[17],"reliance":[18],"on":[19,62,113],"paired":[20],"hazy":[21],"images":[22],"their":[24],"labels.":[25],"However,":[26],"complex":[27],"mapping":[28],"relationships":[29],"often":[30],"increase":[31],"the":[32,114,119,123],"difficulty":[33],"network":[35],"convergence,":[36],"resulting":[37],"color":[39],"distortion":[40],"of":[43,125],"texture":[44,103,120,126],"details":[45],"To":[50],"address":[51],"these":[52],"issues,":[53],"we":[54,71,94],"propose":[55,95],"an":[56,109],"unsupervised":[57],"haze":[58],"removal":[59],"method":[60,133],"based":[61,112],"saliency-guided":[63,74],"transmission":[64,75,83,116],"refinement":[65,76],"for":[66],"Firstly,":[70],"introduce":[72],"a":[73,96],"method,":[77],"which":[78],"decomposes":[79],"recombines":[81],"two":[82],"maps":[84],"obtained":[85],"under":[86],"different":[87],"conditions,":[88],"guided":[89],"by":[90],"saliency":[91],"information.":[92],"Secondly,":[93],"function":[98],"comprising":[99],"energy":[100,106,110],"loss.":[104],"The":[105],"provides":[108],"reference":[111],"coarse":[115],"estimation,":[117],"while":[118],"enhances":[122],"preservation":[124],"details.":[127],"Experimental":[128],"results":[129],"demonstrate":[130],"that":[131],"our":[132],"achieves":[134],"comparable":[135],"performance":[136],"several":[138],"supervised":[139],"methods.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}