{"id":"https://openalex.org/W2772227513","doi":"https://doi.org/10.1109/igarss.2017.8126924","title":"Stable feature point extraction for accurate multi-temporal SAR image registration","display_name":"Stable feature point extraction for accurate multi-temporal SAR image registration","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2772227513","doi":"https://doi.org/10.1109/igarss.2017.8126924","mag":"2772227513"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8126924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8126924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5076179689","display_name":"Huai Yu","orcid":"https://orcid.org/0000-0001-6043-3412"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huai Yu","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351175","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0003-4242-4840"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361370","display_name":"Li Li","orcid":"https://orcid.org/0009-0009-4407-5315"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069540177","display_name":"Wen Yang","orcid":"https://orcid.org/0000-0002-3263-8768"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Yang","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100631497","display_name":"Mingsheng Liao","orcid":"https://orcid.org/0000-0001-9556-4287"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingsheng Liao","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076179689"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.2731,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65228245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"181","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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":0.9990000128746033,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9830999970436096,"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":0.7959486842155457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7696378231048584},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7256391048431396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7028958201408386},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6421164870262146},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6303036212921143},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6085016131401062},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5053256154060364},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.486652672290802},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47582486271858215},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4570766091346741},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4456683099269867},{"id":"https://openalex.org/keywords/control-point","display_name":"Control point","score":0.4409354031085968},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4337886869907379},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.4263076186180115},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4180137515068054},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.3230006694793701},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.22354966402053833},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19259077310562134}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7959486842155457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7696378231048584},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7256391048431396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7028958201408386},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6421164870262146},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6303036212921143},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6085016131401062},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5053256154060364},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.486652672290802},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47582486271858215},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4570766091346741},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4456683099269867},{"id":"https://openalex.org/C2777774050","wikidata":"https://www.wikidata.org/wiki/Q16945110","display_name":"Control point","level":2,"score":0.4409354031085968},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4337886869907379},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.4263076186180115},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4180137515068054},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3230006694793701},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.22354966402053833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19259077310562134},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8126924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8126924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1941168423","https://openalex.org/W1980113665","https://openalex.org/W2025970222","https://openalex.org/W2030233108","https://openalex.org/W2055685931","https://openalex.org/W2083808096","https://openalex.org/W2099111195","https://openalex.org/W2111308925","https://openalex.org/W2164658329","https://openalex.org/W2170282673","https://openalex.org/W2231495490","https://openalex.org/W2316186875","https://openalex.org/W2468367546","https://openalex.org/W2549051450","https://openalex.org/W6676770471"],"related_works":["https://openalex.org/W2359698967","https://openalex.org/W2354624122","https://openalex.org/W2037143534","https://openalex.org/W2888631859","https://openalex.org/W2357811830","https://openalex.org/W2046610828","https://openalex.org/W854405203","https://openalex.org/W4237936143","https://openalex.org/W2073208454","https://openalex.org/W2545787046"],"abstract_inverted_index":{"Feature":[0],"extraction":[1,12],"is":[2,46,107,118],"an":[3],"important":[4],"issue":[5],"for":[6,127],"image":[7,23,56],"interpretation,":[8],"many":[9],"valuable":[10],"feature":[11],"methods":[13,28],"have":[14],"been":[15],"proposed":[16,137],"to":[17,50,67,120],"address":[18],"synthetic":[19],"aperture":[20],"radar":[21],"(SAR)":[22],"registration.":[24,57,129],"However,":[25],"the":[26,52,80,91,95,104,115,122,133,136],"current":[27],"care":[29],"little":[30],"about":[31],"changes":[32],"over":[33],"multi-temporal":[34],"SAR":[35,55],"images,":[36],"which":[37],"result":[38],"in":[39],"unstable":[40,44],"output":[41],"features.":[42],"The":[43],"property":[45],"a":[47,64],"latent":[48],"factor":[49],"affect":[51],"accuracy":[53],"of":[54,135],"To":[58],"overcome":[59],"this":[60],"problem,":[61],"we":[62],"propose":[63],"new":[65],"method":[66],"detect":[68],"stable":[69,81,96,112],"features":[70,82,97],"by":[71,100,109],"intersecting":[72],"Coherent":[73],"Scatters":[74],"(CS)":[75],"and":[76,103],"SAR-FAST":[77],"corners.":[78],"Thus":[79],"are":[83,98],"not":[84],"only":[85],"corners":[86],"but":[87],"also":[88],"located":[89],"at":[90],"time-invariant":[92],"area.":[93],"Then,":[94],"described":[99],"SIFT":[101],"descriptors":[102],"coarse":[105],"registration":[106],"achieved":[108],"matching":[110],"these":[111],"points.":[113],"Finally,":[114],"Powell":[116],"algorithm":[117],"used":[119],"search":[121],"optimal":[123],"Mutual":[124],"Information":[125],"location":[126],"precise":[128],"Experimental":[130],"results":[131],"demonstrate":[132],"effectiveness":[134],"method.":[138]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}