{"id":"https://openalex.org/W4294643230","doi":"https://doi.org/10.1109/tgrs.2022.3203975","title":"Deep Learning-Based Homogeneous Pixel Selection for Multitemporal SAR Interferometry","display_name":"Deep Learning-Based Homogeneous Pixel Selection for Multitemporal SAR Interferometry","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4294643230","doi":"https://doi.org/10.1109/tgrs.2022.3203975"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3203975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3203975","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/A5071442799","display_name":"Jun Hu","orcid":"https://orcid.org/0000-0002-5412-2703"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Hu","raw_affiliation_strings":["Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, and the School of Geosciences and Info-Physics, Central South University, Changsha, China","School of Geosciences and Info-physics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5412-2703","affiliations":[{"raw_affiliation_string":"Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, and the School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Geosciences and Info-physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102822163","display_name":"Wenqing Wu","orcid":"https://orcid.org/0000-0002-9049-4424"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqing Wu","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Hunan, Changsha, China","School of Geosciences and Info-Physics, Central South University, Changsha, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Hunan, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030027991","display_name":"Rong Gui","orcid":"https://orcid.org/0000-0001-8470-3405"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Gui","raw_affiliation_strings":["Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, and the School of Geosciences and Info-Physics, Central South University, Changsha, China","School of Geosciences and Info-physics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-8470-3405","affiliations":[{"raw_affiliation_string":"Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, and the School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Geosciences and Info-physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029039359","display_name":"Zhiwei Li","orcid":"https://orcid.org/0000-0003-4575-5258"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Li","raw_affiliation_strings":["Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, and the School of Geosciences and Info-Physics, Central South University, Changsha, China","School of Geosciences and Info-physics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-4575-5258","affiliations":[{"raw_affiliation_string":"Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, and the School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Geosciences and Info-physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017058983","display_name":"Jianjun Zhu","orcid":"https://orcid.org/0000-0001-7185-6429"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Zhu","raw_affiliation_strings":["Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, and the School of Geosciences and Info-Physics, Central South University, Changsha, China","School of Geosciences and Info-physics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-7185-6429","affiliations":[{"raw_affiliation_string":"Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, and the School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Geosciences and Info-physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":6.6247,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.96010689,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"18"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9921000003814697,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7646769881248474},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.760692834854126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7114706635475159},{"id":"https://openalex.org/keywords/interferometric-synthetic-aperture-radar","display_name":"Interferometric synthetic aperture radar","score":0.6104464530944824},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5935153961181641},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5841622948646545},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5361053943634033},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5284550189971924},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4827343821525574},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.47117215394973755},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4559089243412018},{"id":"https://openalex.org/keywords/interferometry","display_name":"Interferometry","score":0.44096219539642334},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14177939295768738},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12693238258361816}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7646769881248474},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.760692834854126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7114706635475159},{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.6104464530944824},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5935153961181641},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5841622948646545},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5361053943634033},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5284550189971924},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4827343821525574},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.47117215394973755},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4559089243412018},{"id":"https://openalex.org/C166689943","wikidata":"https://www.wikidata.org/wiki/Q850283","display_name":"Interferometry","level":2,"score":0.44096219539642334},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14177939295768738},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12693238258361816},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3203975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3203975","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":[{"display_name":"Sustainable cities and communities","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1767464481","display_name":null,"funder_award_id":"42030112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2666959654","display_name":null,"funder_award_id":"42201432","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3593565247","display_name":null,"funder_award_id":"2021Y3001","funder_id":"https://openalex.org/F4320317314","funder_display_name":"Science and Technology Projects of Fujian Province"},{"id":"https://openalex.org/G6460220867","display_name":null,"funder_award_id":"2020JJ2043","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G7500672231","display_name":null,"funder_award_id":"CX20210274","funder_id":"https://openalex.org/F4320326217","funder_display_name":"Hunan Provincial Innovation Foundation for Postgraduate"},{"id":"https://openalex.org/G8056441113","display_name":null,"funder_award_id":"2019CX007","funder_id":"https://openalex.org/F4320321514","funder_display_name":"Central South University"}],"funders":[{"id":"https://openalex.org/F4320317314","display_name":"Science and Technology Projects of Fujian Province","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321514","display_name":"Central South University","ror":"https://ror.org/00f1zfq44"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320326217","display_name":"Hunan Provincial Innovation Foundation for Postgraduate","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1998628209","https://openalex.org/W2022459032","https://openalex.org/W2047029664","https://openalex.org/W2060210918","https://openalex.org/W2065822370","https://openalex.org/W2119858996","https://openalex.org/W2121773078","https://openalex.org/W2123632763","https://openalex.org/W2129006774","https://openalex.org/W2144308443","https://openalex.org/W2152657318","https://openalex.org/W2325406072","https://openalex.org/W2345852998","https://openalex.org/W2552603604","https://openalex.org/W2764034829","https://openalex.org/W2768638539","https://openalex.org/W2782522152","https://openalex.org/W2892152221","https://openalex.org/W2910971682","https://openalex.org/W2989349076","https://openalex.org/W3005516464","https://openalex.org/W3027201985","https://openalex.org/W3034238744","https://openalex.org/W3034524308","https://openalex.org/W3044005917","https://openalex.org/W3047246571","https://openalex.org/W3088975408","https://openalex.org/W3110556776","https://openalex.org/W3137274276","https://openalex.org/W3157746848","https://openalex.org/W3159120730","https://openalex.org/W3204854236","https://openalex.org/W4205970860"],"related_works":["https://openalex.org/W3206958763","https://openalex.org/W2159160885","https://openalex.org/W2148958581","https://openalex.org/W2910315605","https://openalex.org/W2614621130","https://openalex.org/W2008518276","https://openalex.org/W4289655544","https://openalex.org/W2044092692","https://openalex.org/W2547665164","https://openalex.org/W3103111272"],"abstract_inverted_index":{"Homogeneous":[0],"pixel":[1],"selection":[2,56],"(HPS)":[3],"plays":[4],"an":[5],"important":[6],"role":[7],"in":[8,154,182],"the":[9,20,30,34,55,61,79,84,101,106,133,140,158,168,191,194],"application":[10],"of":[11,19,33,57,63,83,100,123,193],"multitemporal":[12,169],"SAR":[13,98],"interferometry.":[14],"The":[15,72,88,126,136,162],"statistical":[16],"goodness-of-fit":[17],"testing":[18],"temporal":[21],"samples":[22],"has":[23],"been":[24],"widely":[25],"used":[26,76],"for":[27,54],"HPS.":[28],"However,":[29],"detection":[31],"rates":[32],"existing":[35],"methods":[36],"are":[37,119,165],"unsatisfactory":[38],"under":[39,60],"small":[40],"datasets.":[41],"In":[42],"this":[43],"paper,":[44],"a":[45],"stacked":[46],"auto-encoder":[47],"(SAE)":[48],"network":[49,74,90],"based":[50,148],"method":[51],"is":[52,75,91],"proposed":[53],"homogeneous":[58,175],"pixels":[59],"idea":[62],"deep":[64,89],"learning":[65],"image":[66],"classification,":[67],"as":[68,121],"termed":[69],"by":[70],"SAEHPS.":[71],"SAE":[73,141,163],"to":[77,167,173],"learn":[78],"spatial":[80],"distribution":[81],"behavior":[82],"average":[85],"intensity":[86],"image.":[87],"trained":[92],"and":[93,105,109,116,129,179,186],"tested":[94],"on":[95,149],"different":[96],"high-resolution":[97],"datasets":[99],"Hong":[102],"Kong":[103],"Airport":[104],"Fuzhou":[107],"City,":[108],"three":[110],"pixel-wise":[111],"labels":[112],"(i.e.,":[113],"high,":[114],"medium,":[115],"low":[117],"reflections)":[118],"regarded":[120],"outputs":[122],"model":[124],"learning.":[125],"unsupervised":[127],"training":[128],"supervised":[130],"fine-tuning":[131],"realize":[132],"class":[134],"prediction.":[135],"results":[137,164],"show":[138],"that":[139],"can":[142],"achieve":[143],"robust":[144],"accuracies":[145],"above":[146],"90%":[147],"empirically":[150],"labeled":[151],"samples,":[152],"especially":[153],"non-architectural":[155],"areas":[156],"where":[157],"distributed":[159],"scatterers":[160],"exist.":[161],"devoted":[166],"PS/DS":[170],"InSAR":[171],"approach":[172],"identify":[174],"pixels.":[176],"Both":[177],"qualitative":[178],"quantitative":[180],"experiments":[181],"HPS,":[183],"phase":[184],"optimization,":[185],"deformation":[187],"monitoring":[188],"have":[189],"demonstrated":[190],"superiority":[192],"novel":[195],"method.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}