{"id":"https://openalex.org/W2160857560","doi":"https://doi.org/10.1109/lgrs.2009.2020519","title":"Feature Identification via a Combined ICA\u2013Wavelet Method for Image Information Mining","display_name":"Feature Identification via a Combined ICA\u2013Wavelet Method for Image Information Mining","publication_year":2009,"publication_date":"2009-05-27","ids":{"openalex":"https://openalex.org/W2160857560","doi":"https://doi.org/10.1109/lgrs.2009.2020519","mag":"2160857560"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2009.2020519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2009.2020519","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/A5073022625","display_name":"Vijay Shah","orcid":"https://orcid.org/0000-0003-3856-156X"},"institutions":[{"id":"https://openalex.org/I880747138","display_name":"Science Applications International Corporation (United States)","ror":"https://ror.org/00zv91802","country_code":"US","type":"company","lineage":["https://openalex.org/I880747138"]},{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijay P. Shah","raw_affiliation_strings":["Department of Electrical and Computer Engineering and the GeoResources Institute, Mississippi State University, MS, USA","NCI Frederick, SAIC Frederick, Inc., Frederick, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the GeoResources Institute, Mississippi State University, MS, USA","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"NCI Frederick, SAIC Frederick, Inc., Frederick, MD, USA","institution_ids":["https://openalex.org/I880747138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075380767","display_name":"Nicolas H. Younan","orcid":"https://orcid.org/0000-0003-0815-5173"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicolas H. Younan","raw_affiliation_strings":["Department of Electrical and Computer Engineering and the GeoResources Institute, Mississippi State University, MS, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the GeoResources Institute, Mississippi State University, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052217638","display_name":"Surya S. Durbha","orcid":"https://orcid.org/0000-0003-1022-8378"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Surya S. Durbha","raw_affiliation_strings":["Department of Electrical and Computer Engineering and the GeoResources Institute, Mississippi State University, MS, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the GeoResources Institute, Mississippi State University, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112010548","display_name":"Roger L. King","orcid":null},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roger L. King","raw_affiliation_strings":["Department of Electrical and Computer Engineering and the GeoResources Institute, Mississippi State University, MS, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the GeoResources Institute, Mississippi State University, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8779,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.93884553,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":"1","first_page":"18","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10320","display_name":"Neural Networks and Applications","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6824662685394287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6770689487457275},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6615170240402222},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6474378108978271},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6077529788017273},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5395539999008179},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.521658182144165},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.5203456282615662},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5106812119483948},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4971924126148224},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.48337477445602417},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47983691096305847},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35789138078689575},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35596224665641785},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.33065542578697205}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6824662685394287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6770689487457275},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6615170240402222},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6474378108978271},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6077529788017273},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5395539999008179},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.521658182144165},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.5203456282615662},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5106812119483948},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4971924126148224},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.48337477445602417},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47983691096305847},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35789138078689575},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35596224665641785},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33065542578697205},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2009.2020519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2009.2020519","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1506281249","https://openalex.org/W1508960934","https://openalex.org/W1510073064","https://openalex.org/W1544444001","https://openalex.org/W1660390307","https://openalex.org/W1813388215","https://openalex.org/W1918993291","https://openalex.org/W1981276685","https://openalex.org/W1989956527","https://openalex.org/W1993925360","https://openalex.org/W2053691921","https://openalex.org/W2079888580","https://openalex.org/W2100860054","https://openalex.org/W2104019579","https://openalex.org/W2106214997","https://openalex.org/W2106582716","https://openalex.org/W2108323654","https://openalex.org/W2117604989","https://openalex.org/W2123649031","https://openalex.org/W2125687218","https://openalex.org/W2127545084","https://openalex.org/W2140095548","https://openalex.org/W2148603752","https://openalex.org/W2154977876","https://openalex.org/W2156909104","https://openalex.org/W2156982859","https://openalex.org/W3023411394","https://openalex.org/W4244494905"],"related_works":["https://openalex.org/W1840273037","https://openalex.org/W2942471066","https://openalex.org/W2185970706","https://openalex.org/W2546942002","https://openalex.org/W3204757516","https://openalex.org/W2885565509","https://openalex.org/W2000165426","https://openalex.org/W2566648451","https://openalex.org/W2980182036","https://openalex.org/W2184961033"],"abstract_inverted_index":{"Image":[0],"transformation":[1,14,42,67],"is":[2,26,75],"required":[3],"for":[4,12,32,68,86],"color-texture":[5],"image":[6,33,69,87],"segmentation.":[7],"Various":[8],"techniques":[9],"are":[10],"available":[11],"the":[13,16,23,40,80,83],"along":[15],"spatial":[17],"and":[18,65],"spectral":[19,47],"axes.":[20],"For":[21],"instance,":[22],"HSV-wavelet":[24],"technique":[25],"shown":[27],"to":[28],"be":[29],"very":[30],"effective":[31],"information":[34,70,88],"mining":[35,71,89],"in":[36,72,90],"remote-sensing":[37],"applications.":[38],"However,":[39],"HSV":[41],"approach":[43],"uses":[44],"only":[45],"three":[46],"bands":[48],"at":[49],"a":[50,55],"time.":[51],"In":[52],"this":[53],"letter,":[54],"new":[56],"feature":[57],"set,":[58],"obtained":[59],"by":[60],"combining":[61],"independent":[62],"component":[63],"analysis":[64],"wavelet":[66],"geospatial":[73],"data,":[74],"presented.":[76],"Experimental":[77],"results":[78],"show":[79],"effectiveness":[81],"of":[82],"presented":[84],"method":[85],"Earth":[91],"observation":[92],"data":[93],"archives.":[94]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}