{"id":"https://openalex.org/W1978625957","doi":"https://doi.org/10.1109/icsmc.2011.6084140","title":"A spatial-spectral classification approach of multispectral data for ground perspective materials","display_name":"A spatial-spectral classification approach of multispectral data for ground perspective materials","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W1978625957","doi":"https://doi.org/10.1109/icsmc.2011.6084140","mag":"1978625957"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2011.6084140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2011.6084140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Systems, Man, and Cybernetics","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/A5041026098","display_name":"Edmond M. DuPont","orcid":null},"institutions":[{"id":"https://openalex.org/I1290463931","display_name":"Southwest Research Institute","ror":"https://ror.org/03tghng59","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1290463931"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Edmond M. DuPont","raw_affiliation_strings":["AeroSpace Electronics, Systems Engineering and Training Division, Southwest Research Institute, San Antonio, TX, USA","Aerospace Electronics, Systems Engineering and Training Division, Southwest Research Institute, San Antonio, TX 78238 USA"],"affiliations":[{"raw_affiliation_string":"AeroSpace Electronics, Systems Engineering and Training Division, Southwest Research Institute, San Antonio, TX, USA","institution_ids":["https://openalex.org/I1290463931"]},{"raw_affiliation_string":"Aerospace Electronics, Systems Engineering and Training Division, Southwest Research Institute, San Antonio, TX 78238 USA","institution_ids":["https://openalex.org/I1290463931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052414962","display_name":"David R. Chambers","orcid":null},"institutions":[{"id":"https://openalex.org/I1290463931","display_name":"Southwest Research Institute","ror":"https://ror.org/03tghng59","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1290463931"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Chambers","raw_affiliation_strings":["AeroSpace Electronics, Systems Engineering and Training Division, Southwest Research Institute, San Antonio, TX, USA","Aerospace Electronics, Systems Engineering and Training Division, Southwest Research Institute, San Antonio, TX 78238 USA"],"affiliations":[{"raw_affiliation_string":"AeroSpace Electronics, Systems Engineering and Training Division, Southwest Research Institute, San Antonio, TX, USA","institution_ids":["https://openalex.org/I1290463931"]},{"raw_affiliation_string":"Aerospace Electronics, Systems Engineering and Training Division, Southwest Research Institute, San Antonio, TX 78238 USA","institution_ids":["https://openalex.org/I1290463931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040830878","display_name":"Joseph Alexander","orcid":null},"institutions":[{"id":"https://openalex.org/I1290463931","display_name":"Southwest Research Institute","ror":"https://ror.org/03tghng59","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1290463931"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph Alexander","raw_affiliation_strings":["AeroSpace Electronics, Systems Engineering and Training Division, Southwest Research Institute, San Antonio, TX, USA","Aerospace Electronics, Systems Engineering and Training Division, Southwest Research Institute, San Antonio, TX 78238 USA"],"affiliations":[{"raw_affiliation_string":"AeroSpace Electronics, Systems Engineering and Training Division, Southwest Research Institute, San Antonio, TX, USA","institution_ids":["https://openalex.org/I1290463931"]},{"raw_affiliation_string":"Aerospace Electronics, Systems Engineering and Training Division, Southwest Research Institute, San Antonio, TX 78238 USA","institution_ids":["https://openalex.org/I1290463931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030566761","display_name":"Kevin Alley","orcid":null},"institutions":[{"id":"https://openalex.org/I1290463931","display_name":"Southwest Research Institute","ror":"https://ror.org/03tghng59","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1290463931"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Alley","raw_affiliation_strings":["AeroSpace Electronics, Systems Engineering and Training Division, Southwest Research Institute, San Antonio, TX, USA","Aerospace Electronics, Systems Engineering and Training Division, Southwest Research Institute, San Antonio, TX 78238 USA"],"affiliations":[{"raw_affiliation_string":"AeroSpace Electronics, Systems Engineering and Training Division, Southwest Research Institute, San Antonio, TX, USA","institution_ids":["https://openalex.org/I1290463931"]},{"raw_affiliation_string":"Aerospace Electronics, Systems Engineering and Training Division, Southwest Research Institute, San Antonio, TX 78238 USA","institution_ids":["https://openalex.org/I1290463931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041026098"],"corresponding_institution_ids":["https://openalex.org/I1290463931"],"apc_list":null,"apc_paid":null,"fwci":0.5042,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68416087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"42","issue":null,"first_page":"3125","last_page":"3129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9783999919891357,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8343244791030884},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7645519971847534},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.708166241645813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.650101363658905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6239246129989624},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.609626054763794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6019781827926636},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5894246697425842},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5862041115760803},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5567980408668518},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.4625856578350067},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4481472373008728},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.43986883759498596},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.41186144948005676},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1810120940208435},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1422821581363678}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8343244791030884},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7645519971847534},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.708166241645813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.650101363658905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6239246129989624},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.609626054763794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6019781827926636},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5894246697425842},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5862041115760803},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5567980408668518},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.4625856578350067},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4481472373008728},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.43986883759498596},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.41186144948005676},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1810120940208435},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1422821581363678},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2011.6084140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2011.6084140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Systems, Man, and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W340722018","https://openalex.org/W609694675","https://openalex.org/W2043665634","https://openalex.org/W2091757609","https://openalex.org/W2115242586","https://openalex.org/W2138511124","https://openalex.org/W2145104993","https://openalex.org/W2148791530","https://openalex.org/W2170864621","https://openalex.org/W2744622713","https://openalex.org/W4320339642","https://openalex.org/W6611540831","https://openalex.org/W6681368648","https://openalex.org/W6743264794"],"related_works":["https://openalex.org/W2128126485","https://openalex.org/W1995889410","https://openalex.org/W1752760603","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W2018850895","https://openalex.org/W1655370001","https://openalex.org/W2133502576","https://openalex.org/W1967665284","https://openalex.org/W1990799928"],"abstract_inverted_index":{"A":[0],"spatial-spectral":[1],"classification":[2,5,84],"technique":[3],"for":[4,63],"of":[6,21,58,73,85],"materials":[7,86],"within":[8],"Hyperspectral":[9],"images":[10],"is":[11],"described":[12],"in":[13],"this":[14],"paper.":[15],"The":[16,36],"method":[17],"considers":[18],"the":[19,71,83,92],"influence":[20],"neighboring":[22],"pixels":[23],"to":[24,30,44,60,88],"apply":[25],"local":[26],"spatial":[27,37,74],"context":[28],"features":[29,40,77,81],"correctly":[31],"label":[32],"an":[33],"unknown":[34],"pixel.":[35],"and":[38,66,75],"spectral":[39,64,76,80],"are":[41],"jointly":[42],"applied":[43],"a":[45,56],"Maximum":[46],"Likelihood":[47],"classifier":[48],"that":[49],"uses":[50],"material":[51],"class":[52],"models":[53],"defined":[54],"by":[55],"Mixture":[57],"Gaussians":[59],"adaptively":[61],"account":[62],"variability":[65],"noise.":[67],"Experimental":[68],"results":[69],"compare":[70],"application":[72],"with":[78],"only":[79],"on":[82],"common":[87],"scenes":[89],"viewed":[90],"from":[91],"ground":[93],"perspective.":[94]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}