{"id":"https://openalex.org/W2547897849","doi":"https://doi.org/10.1109/igarss.2016.7729711","title":"Textural classification based on wavelet, curvelet and contourlet features","display_name":"Textural classification based on wavelet, curvelet and contourlet features","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2547897849","doi":"https://doi.org/10.1109/igarss.2016.7729711","mag":"2547897849"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7729711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/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":"last","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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.62,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91764045,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2753","last_page":"2756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9993000030517578,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9993000030517578,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9955000281333923,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9890000224113464,"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/curvelet","display_name":"Curvelet","score":0.9391775131225586},{"id":"https://openalex.org/keywords/contourlet","display_name":"Contourlet","score":0.8858582973480225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8239466547966003},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7674190998077393},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.644474446773529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6299944519996643},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5493641495704651},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5289661288261414},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5261539816856384},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5096378326416016},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4977422058582306},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.47710543870925903},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.46847003698349},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.45424067974090576},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3711996376514435},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23535582423210144}],"concepts":[{"id":"https://openalex.org/C131720326","wikidata":"https://www.wikidata.org/wiki/Q5196075","display_name":"Curvelet","level":4,"score":0.9391775131225586},{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.8858582973480225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8239466547966003},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7674190998077393},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.644474446773529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6299944519996643},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5493641495704651},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5289661288261414},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5261539816856384},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5096378326416016},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4977422058582306},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.47710543870925903},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.46847003698349},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.45424067974090576},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3711996376514435},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23535582423210144}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7729711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1564419782","https://openalex.org/W2026517469","https://openalex.org/W2135512264","https://openalex.org/W4255966117"],"related_works":["https://openalex.org/W2425229296","https://openalex.org/W2090236240","https://openalex.org/W3150496279","https://openalex.org/W2122170879","https://openalex.org/W2236419488","https://openalex.org/W2899721898","https://openalex.org/W2325058018","https://openalex.org/W2561072616","https://openalex.org/W2161332283","https://openalex.org/W2144602437"],"abstract_inverted_index":{"Multi-resolution":[0],"analysis":[1,54],"(MRA)":[2],"has":[3],"been":[4],"successfully":[5],"used":[6,100],"in":[7,29,62,120],"image":[8,34,36],"processing":[9],"with":[10,58,127],"the":[11,23,44,63,83,92,96,103],"recent":[12],"emergence":[13],"of":[14,26,40,74,95],"applications":[15,31],"to":[16,56,101,105],"texture":[17,71,108],"classification.":[18],"Several":[19],"studies":[20],"have":[21,49],"investigated":[22],"discriminating":[24],"power":[25],"wavelet-based":[27],"features":[28,80,90],"various":[30],"such":[32],"as":[33,51],"compression,":[35],"denoising,":[37],"and":[38,46,68,86,98],"classification":[39,73],"natural":[41],"textures.":[42],"Recently,":[43],"curvelet":[45,85],"contourlet":[47,87],"transforms":[48],"emerged":[50],"new":[52],"multi-resolution":[53],"tools":[55],"deal":[57],"non-linear":[59],"singularities":[60],"present":[61],"image.":[64],"This":[65],"article":[66],"explores":[67],"proposes":[69],"a":[70],"based":[72,113,133],"remotely":[75],"sensed":[76],"multispectral":[77],"images":[78,97],"using":[79],"derived":[81],"from":[82],"wavelet,":[84],"transforms.":[88],"These":[89],"characterize":[91],"textural":[93],"properties":[94],"are":[99,125],"train":[102],"classifier":[104],"recognize":[106],"each":[107],"class.":[109],"Using":[110],"these":[111],"MRA":[112],"feature":[114,121],"descriptors":[115],"class":[116],"separability":[117],"is":[118],"defined":[119],"space.":[122],"The":[123],"results":[124],"compared":[126],"Grey":[128],"Level":[129],"Co-occurrence":[130],"Matrix":[131],"(GLCM)":[132],"statistical":[134],"features.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
