{"id":"https://openalex.org/W4409152300","doi":"https://doi.org/10.1109/lgrs.2025.3557900","title":"Combining Neighborhood Difference and Gaussian-Gamma-Shaped Feature Map for SAR Image Registration","display_name":"Combining Neighborhood Difference and Gaussian-Gamma-Shaped Feature Map for SAR Image Registration","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409152300","doi":"https://doi.org/10.1109/lgrs.2025.3557900"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2025.3557900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3557900","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5110006885","display_name":"Wenlong Hu","orcid":"https://orcid.org/0009-0004-0618-7723"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlong Hu","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0004-0618-7723","affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108081043","display_name":"Junyi Liu","orcid":"https://orcid.org/0009-0000-0565-8299"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyi Liu","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0000-0565-8299","affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101959834","display_name":"Junjie Huang","orcid":"https://orcid.org/0000-0002-5637-0735"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Huang","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114269736","display_name":"Qingsong Wang","orcid":"https://orcid.org/0009-0004-9240-8341"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingsong Wang","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0004-9240-8341","affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03673303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9491000175476074,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9491000175476074,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9470999836921692,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9302999973297119,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.662026584148407},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.651547372341156},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5866946578025818},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5790268778800964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5757995247840881},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5585640072822571},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4751420021057129},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43619397282600403},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.430412232875824},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4283527135848999},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4106454849243164},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39549165964126587},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11820673942565918},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.09102576971054077}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.662026584148407},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.651547372341156},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5866946578025818},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5790268778800964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5757995247840881},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5585640072822571},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4751420021057129},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43619397282600403},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.430412232875824},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4283527135848999},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4106454849243164},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39549165964126587},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11820673942565918},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.09102576971054077},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3557900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3557900","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7171111981","display_name":null,"funder_award_id":"2019ZT08X751","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8926446987","display_name":null,"funder_award_id":"62273365","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":16,"referenced_works":["https://openalex.org/W2030233108","https://openalex.org/W2038563371","https://openalex.org/W2047243114","https://openalex.org/W2111308925","https://openalex.org/W2134531380","https://openalex.org/W2151103935","https://openalex.org/W2151358505","https://openalex.org/W2559871160","https://openalex.org/W2589547048","https://openalex.org/W3175531063","https://openalex.org/W3216504652","https://openalex.org/W4317796378","https://openalex.org/W4392940296","https://openalex.org/W4395096408","https://openalex.org/W4401091101","https://openalex.org/W4405911234"],"related_works":["https://openalex.org/W2545123933","https://openalex.org/W2585813813","https://openalex.org/W2041414401","https://openalex.org/W2042726296","https://openalex.org/W2096748030","https://openalex.org/W3016428515","https://openalex.org/W2160730947","https://openalex.org/W2747205507","https://openalex.org/W2917196883","https://openalex.org/W1908997176"],"abstract_inverted_index":{"Due":[0],"to":[1,73,106,123,133],"the":[2,31,66,95,103,125,157],"influence":[3],"of":[4,33,41,76,97,139,159],"speckle":[5],"noise":[6],"and":[7,38,79,102,113,156],"geometric":[8,39],"distortion":[9],"between":[10,99],"images,":[11],"synthetic":[12],"aperture":[13],"radar":[14],"(SAR)":[15],"image":[16,54,141],"registration":[17,55,142],"under":[18,44,143],"different":[19,45,144],"imaging":[20],"conditions":[21,145],"is":[22,121,130],"a":[23,51,85,116],"challenging":[24],"task":[25],"in":[26,36,65,153],"remote":[27],"sensing.":[28],"To":[29],"address":[30],"issues":[32],"significant":[34],"differences":[35],"scattering":[37],"characteristics":[40],"SAR":[42,53,140],"images":[43],"viewing":[46],"angles,":[47],"this":[48],"letter":[49],"proposes":[50],"novel":[52],"method.":[56],"The":[57],"existing":[58,164],"methods":[59],"mainly":[60],"rely":[61],"on":[62],"gradient":[63],"information":[64],"feature":[67,77,108,119,126],"point":[68,127],"selection":[69],"process,":[70],"which":[71,129],"leads":[72],"uneven":[74],"distribution":[75],"points":[78,109],"poor":[80],"global":[81],"matching.":[82],"We":[83],"design":[84],"Harris-based":[86],"neighborhood":[87],"difference":[88,98],"map":[89,120],"(HNDM)":[90],"detector.":[91],"This":[92],"detector":[93],"uses":[94],"degree":[96],"neighbor":[100],"regions":[101],"central":[104],"region":[105,135],"obtain":[107],"that":[110,147],"are":[111],"homogeneous":[112],"significant.":[114],"Then,":[115],"Gaussian\u2013Gamma-shaped":[117],"(GGS)":[118],"used":[122],"construct":[124],"characterization,":[128],"more":[131],"robust":[132],"dark":[134],"noise.":[136],"Experimental":[137],"results":[138],"show":[146],"our":[148],"method":[149],"achieves":[150],"better":[151],"performance":[152],"matching":[154],"accuracy":[155],"number":[158],"correct":[160],"correspondences,":[161],"outperforming":[162],"three":[163],"advanced":[165],"algorithms.":[166]},"counts_by_year":[],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}