{"id":"https://openalex.org/W4386090436","doi":"https://doi.org/10.1109/tgrs.2023.3307825","title":"Cross-Modality Features Fusion for Synthetic Aperture Radar Image Segmentation","display_name":"Cross-Modality Features Fusion for Synthetic Aperture Radar Image Segmentation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386090436","doi":"https://doi.org/10.1109/tgrs.2023.3307825"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3307825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3307825","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":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Cross-modality_features_fusion_for_synthetic_aperture_radar_image_segmentation/23976180","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085382296","display_name":"Fei Gao","orcid":"https://orcid.org/0000-0002-1489-0812"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Gao","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China","Beihang Hangzhou Innovation Institute Yuhang, Xixi Octagon City, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1489-0812","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beihang Hangzhou Innovation Institute Yuhang, Xixi Octagon City, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101650394","display_name":"Heqing Huang","orcid":"https://orcid.org/0000-0002-7080-3701"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heqing Huang","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7080-3701","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010200162","display_name":"Zhenyu Yue","orcid":"https://orcid.org/0000-0002-9497-6164"},"institutions":[{"id":"https://openalex.org/I3017770710","display_name":"China North Industries Group Corporation (China)","ror":"https://ror.org/00cwdhv97","country_code":"CN","type":"company","lineage":["https://openalex.org/I3017770710"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Yue","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China","Navigation and Control Technology Research Institute, Norinco Group, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9497-6164","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Navigation and Control Technology Research Institute, Norinco Group, Beijing, China","institution_ids":["https://openalex.org/I3017770710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056294093","display_name":"Dongyu Li","orcid":"https://orcid.org/0000-0001-8338-0536"},"institutions":[{"id":"https://openalex.org/I4210088244","display_name":"Shanghai Micro Satellite Engineering Center","ror":"https://ror.org/003cp7918","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210088244"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyu Li","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University, Beijing, China","Shanghai Institute of Satellite Engineering, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8338-0536","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Shanghai Institute of Satellite Engineering, Shanghai, China","institution_ids":["https://openalex.org/I4210088244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008501506","display_name":"Shuzhi Sam Ge","orcid":"https://orcid.org/0000-0001-5549-312X"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]},{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Shuzhi Sam Ge","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Queenstown, Singapore","Institute for Future, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-5549-312X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Queenstown, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Institute for Future, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026685411","display_name":"Tong Heng Lee","orcid":"https://orcid.org/0000-0002-2785-516X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tong Heng Lee","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Queenstown, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-2785-516X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Queenstown, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066119228","display_name":"Huiyu Zhou","orcid":"https://orcid.org/0000-0003-1634-9840"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huiyu Zhou","raw_affiliation_strings":["Department of Informatics, University of Leicester, Leicester, U.K"],"raw_orcid":"https://orcid.org/0000-0003-1634-9840","affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Leicester, Leicester, U.K","institution_ids":["https://openalex.org/I153648349"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.8256,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.95546531,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9853000044822693,"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7805112600326538},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7506822347640991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7279365062713623},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6152831315994263},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5952281355857849},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5872156023979187},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.5351254940032959},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5159733891487122},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.47813737392425537},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4733859598636627},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4628433883190155},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4545454680919647},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4312202036380768}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7805112600326538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7506822347640991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7279365062713623},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6152831315994263},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5952281355857849},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5872156023979187},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.5351254940032959},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5159733891487122},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.47813737392425537},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4733859598636627},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4628433883190155},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4545454680919647},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4312202036380768},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2023.3307825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3307825","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"},{"id":"pmh:oai:figshare.com:article/23976180","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Cross-modality_features_fusion_for_synthetic_aperture_radar_image_segmentation/23976180","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/23976180","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Cross-modality_features_fusion_for_synthetic_aperture_radar_image_segmentation/23976180","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2239472154","display_name":null,"funder_award_id":"62371022","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":58,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1920235975","https://openalex.org/W2007695941","https://openalex.org/W2013697554","https://openalex.org/W2064856988","https://openalex.org/W2079299474","https://openalex.org/W2291071080","https://openalex.org/W2295784455","https://openalex.org/W2323138499","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2522942546","https://openalex.org/W2554820184","https://openalex.org/W2557406251","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2740388348","https://openalex.org/W2752782242","https://openalex.org/W2786492053","https://openalex.org/W2793268137","https://openalex.org/W2906217354","https://openalex.org/W2907088929","https://openalex.org/W2922891743","https://openalex.org/W2945223572","https://openalex.org/W2962978395","https://openalex.org/W2963351448","https://openalex.org/W2963378109","https://openalex.org/W2963881378","https://openalex.org/W2981689412","https://openalex.org/W2996290406","https://openalex.org/W2997564896","https://openalex.org/W3006904694","https://openalex.org/W3049670509","https://openalex.org/W3103333135","https://openalex.org/W3127751679","https://openalex.org/W3132784030","https://openalex.org/W3157192212","https://openalex.org/W3168491317","https://openalex.org/W3170841864","https://openalex.org/W3180045188","https://openalex.org/W3204166336","https://openalex.org/W3205562958","https://openalex.org/W3211490618","https://openalex.org/W3214821343","https://openalex.org/W4205138939","https://openalex.org/W4296544717","https://openalex.org/W4312350143","https://openalex.org/W4312669952","https://openalex.org/W4312875177","https://openalex.org/W4321232185","https://openalex.org/W4385245566","https://openalex.org/W4386076267","https://openalex.org/W6639824700","https://openalex.org/W6739901393","https://openalex.org/W6790275670","https://openalex.org/W6797399245","https://openalex.org/W6839294866","https://openalex.org/W6842806116"],"related_works":["https://openalex.org/W4360784979","https://openalex.org/W2204605857","https://openalex.org/W2184524617","https://openalex.org/W2162746041","https://openalex.org/W3017192027","https://openalex.org/W2007664797","https://openalex.org/W2115198604","https://openalex.org/W1996489018","https://openalex.org/W2120981610","https://openalex.org/W2150680473"],"abstract_inverted_index":{"Synthetic":[0],"Aperture":[1],"Radar":[2],"(SAR)":[3],"image":[4,17,32,57,174,223],"segmentation":[5,48,58,192,217,224],"stands":[6],"as":[7,85,226],"a":[8,103,127],"formidable":[9],"research":[10],"frontier":[11],"within":[12],"the":[13,40,72,79,95,99,107,124,135,139,161,169,173,177,180,185,188,191,203,229],"domain":[14],"of":[15,42,61,64,74,90,126,172,187,194],"SAR":[16,31,43,56,75,100,211],"interpretation.":[18],"The":[19,88],"fully":[20],"convolutional":[21],"network":[22],"(FCN)":[23],"methods":[24,36],"have":[25],"recently":[26],"brought":[27],"remarkable":[28],"improvements":[29],"in":[30,59,98],"segmentation.":[33],"Nevertheless,":[34],"these":[35],"do":[37],"not":[38],"utilize":[39],"peculiarities":[41,73],"images,":[44],"leading":[45],"to":[46,117,137,150,167,183,220],"suboptimal":[47],"accuracy.":[49],"To":[50],"address":[51],"this":[52],"issue,":[53],"we":[54,159],"rethink":[55],"terms":[60],"sequential":[62],"information":[63,97,171],"transformers":[65],"and":[66,77,81,119,132,155,208],"cross-modal":[67],"features.":[68,87,121,157],"We":[69,144],"first":[70],"discuss":[71],"images":[76],"extract":[78],"mean":[80],"texture":[82],"features":[83,92,125,182],"utilized":[84],"auxiliary":[86,91,181],"extraction":[89],"helps":[93],"unearth":[94],"distinctive":[96],"images.":[101],"Afterward,":[102],"feature-enhanced":[104],"FCN":[105],"with":[106],"transformer":[108],"encoder":[109,129],"structure,":[110],"termed":[111],"FE-FCN,":[112,123],"which":[113],"can":[114],"be":[115],"extracted":[116],"context-level":[118],"pixel-level":[120],"In":[122],"single-mode":[128],"are":[130,196],"aligned":[131],"inserted":[133],"into":[134],"model":[136],"explore":[138],"potential":[140],"correspondence":[141],"between":[142],"modes.":[143],"also":[145],"employ":[146],"long":[147],"skip":[148],"connections":[149],"share":[151],"each":[152],"modality\u2019s":[153],"distinguishing":[154],"particular":[156],"Finally,":[158],"present":[160],"connection-enhanced":[162],"conditional":[163],"random":[164],"field":[165],"(CE-CRF)":[166],"capture":[168],"connection":[170,189],"pixels.":[175],"Since":[176],"CE-CRF":[178],"utilizes":[179],"enhance":[184],"reliability":[186],"information,":[190],"results":[193],"FE-FCN":[195],"further":[197],"optimized.":[198],"Comparative":[199],"experiments":[200],"conducted":[201],"on":[202],"Fangchenggang":[204],"(FCG),":[205],"Pucheng":[206],"(PC),":[207],"Gaofen":[209],"(GF)":[210],"datasets.":[212],"Our":[213],"method":[214],"demonstrates":[215],"superior":[216],"accuracy":[218],"compared":[219],"other":[221],"conventional":[222],"methods,":[225],"confirmed":[227],"by":[228],"experimental":[230],"results.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}