{"id":"https://openalex.org/W2901064030","doi":"https://doi.org/10.1109/igarss.2018.8519423","title":"Change Detection Using Curvelet and Contourlet Transforms Using Multitemporal SAR Imagery","display_name":"Change Detection Using Curvelet and Contourlet Transforms Using Multitemporal SAR Imagery","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901064030","doi":"https://doi.org/10.1109/igarss.2018.8519423","mag":"2901064030"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8519423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8519423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","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/A5013299687","display_name":"Rizwan Ahmed Ansari","orcid":"https://orcid.org/0000-0002-4246-2559"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rizwan Ahmed Ansari","raw_affiliation_strings":["Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059951735","display_name":"Krishna Mohan Buddhiraju","orcid":"https://orcid.org/0000-0001-6815-8988"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Krishna Mohan Buddhiraju","raw_affiliation_strings":["Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057547054","display_name":"Avik Bhattacharya","orcid":"https://orcid.org/0000-0001-6720-6108"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Avik Bhattacharya","raw_affiliation_strings":["Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4184,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6991241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"63","issue":null,"first_page":"4804","last_page":"4807"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9932000041007996,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/curvelet","display_name":"Curvelet","score":0.8413841128349304},{"id":"https://openalex.org/keywords/contourlet","display_name":"Contourlet","score":0.8402160406112671},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7491382956504822},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7312418818473816},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6675992012023926},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6492164134979248},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6444923877716064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6366459131240845},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5946183800697327},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5022814273834229},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49413684010505676},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4270576238632202},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.24075227975845337}],"concepts":[{"id":"https://openalex.org/C131720326","wikidata":"https://www.wikidata.org/wiki/Q5196075","display_name":"Curvelet","level":4,"score":0.8413841128349304},{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.8402160406112671},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7491382956504822},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7312418818473816},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6675992012023926},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6492164134979248},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6444923877716064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6366459131240845},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5946183800697327},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5022814273834229},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49413684010505676},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4270576238632202},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.24075227975845337},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8519423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8519423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","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":12,"referenced_works":["https://openalex.org/W1965852574","https://openalex.org/W2026517469","https://openalex.org/W2026715250","https://openalex.org/W2036798369","https://openalex.org/W2115528090","https://openalex.org/W2117853853","https://openalex.org/W2134715294","https://openalex.org/W2135512264","https://openalex.org/W2137102674","https://openalex.org/W2144552105","https://openalex.org/W2152185773","https://openalex.org/W4255966117"],"related_works":["https://openalex.org/W2425229296","https://openalex.org/W2090236240","https://openalex.org/W2122170879","https://openalex.org/W3150496279","https://openalex.org/W2236419488","https://openalex.org/W2899721898","https://openalex.org/W2561072616","https://openalex.org/W3169504989","https://openalex.org/W3016367246","https://openalex.org/W2564703829"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"multiresolution":[4],"textural":[5,31,88],"approach":[6,19],"to":[7,49,58,71,129],"change":[8,74,95,121],"detection":[9,75,122],"in":[10,39,42,103],"multi-temporal":[11],"synthetic":[12],"aperture":[13],"radar":[14],"(SAR)":[15],"images.":[16],"The":[17,54,77],"proposed":[18,117],"exploits":[20],"curvelet":[21],"and":[22,38,47,97,109],"contourlet":[23],"based":[24,87,131],"multi-scale":[25],"transforms":[26],"for":[27,94],"SAR":[28],"data":[29],"where":[30],"information":[32],"is":[33,56,64,92,100,113],"extracted":[34],"at":[35],"various":[36],"scales":[37],"different":[40],"directions":[41],"terms":[43,104],"of":[44,105],"statistical":[45],"moments":[46],"energy":[48],"generate":[50,59],"the":[51,60,67,82,116],"feature":[52],"vectors.":[53],"L1-norm":[55],"used":[57],"difference":[61],"image,":[62],"which":[63],"thresholded":[65],"using":[66],"maximum":[68],"entropy":[69],"principle":[70],"obtain":[72],"final":[73],"map.":[76],"results":[78],"are":[79],"compared":[80,128],"with":[81,124],"changes":[83],"detected":[84],"by":[85],"wavelet":[86,130],"features.":[89],"Accuracy":[90],"assessment":[91],"performed":[93],"maps":[96],"comparative":[98],"analysis":[99],"carried":[101],"out":[102],"missed":[106],"changes,":[107],"false-alarms":[108],"overall":[110],"accuracies.":[111],"It":[112],"found":[114],"that":[115],"method":[118],"exhibits":[119],"high":[120],"accuracy":[123],"better":[125],"edge":[126],"continuity":[127],"methods.":[132]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}