{"id":"https://openalex.org/W1532610010","doi":"https://doi.org/10.1007/978-1-4419-9170-6","title":"Hyperspectral Imaging: Techniques for Spectral Detection and Classification","display_name":"Hyperspectral Imaging: Techniques for Spectral Detection and Classification","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W1532610010","doi":"https://doi.org/10.1007/978-1-4419-9170-6","mag":"1532610010"},"language":"en","primary_location":{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-010036394","is_oa":false,"landing_page_url":"http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010036394&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"article","indexed_in":[],"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/A5073412670","display_name":"Chein\u2010I Chang","orcid":"https://orcid.org/0000-0002-5450-4891"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chein\u2010I Chang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-5450-4891","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5073412670"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":54.1904,"has_fulltext":false,"cited_by_count":1028,"citation_normalized_percentile":{"value":0.99926511,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9663000106811523,"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":0.9663000106811523,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9484999775886536,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8319658637046814},{"id":"https://openalex.org/keywords/subpixel-rendering","display_name":"Subpixel rendering","score":0.8069928884506226},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.790490984916687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6914951205253601},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6809343099594116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5288551449775696},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5036839842796326},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.43165135383605957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37657949328422546},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19827115535736084}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8319658637046814},{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.8069928884506226},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.790490984916687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6914951205253601},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6809343099594116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5288551449775696},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5036839842796326},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.43165135383605957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37657949328422546},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19827115535736084}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-010036394","is_oa":false,"landing_page_url":"http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010036394&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-032471071","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-1-4419-9170-6","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"software, multimedia"},{"id":"mag:1532610010","is_oa":false,"landing_page_url":"http://ci.nii.ac.jp/ncid/BA6338319X","pdf_url":null,"source":{"id":"https://openalex.org/S4210197683","display_name":"Medical Entomology and Zoology","issn_l":"0424-7086","issn":["0424-7086","2185-5609"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319750","host_organization_name":"Japan Society of Medical Entomology and Zoology","host_organization_lineage":["https://openalex.org/P4310319750"],"host_organization_lineage_names":["Japan Society of Medical Entomology and Zoology"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W628438000","https://openalex.org/W2295820431","https://openalex.org/W2165755981","https://openalex.org/W2163547919","https://openalex.org/W2157321686","https://openalex.org/W2136625467","https://openalex.org/W2136251662","https://openalex.org/W2131697388","https://openalex.org/W2127062304","https://openalex.org/W2117741752","https://openalex.org/W2114486983","https://openalex.org/W2111975408","https://openalex.org/W2107222994","https://openalex.org/W2102159812","https://openalex.org/W2098295833","https://openalex.org/W2047870694","https://openalex.org/W2022470997","https://openalex.org/W2010797000","https://openalex.org/W1582058549","https://openalex.org/W1578368825"],"abstract_inverted_index":{"Hyperspectral":[0],"Imaging:":[1],"Techniques":[2],"for":[3,51,79,124],"Spectral":[4],"Detection":[5],"and":[6,23,45,54,69,94,115,121,128,132],"Classification":[7],"is":[8,60,113],"an":[9],"outgrowth":[10],"of":[11,31,38,63],"the":[12,16,19,29,61,67,104],"research":[13],"conducted":[14],"over":[15],"years":[17],"in":[18,103,108,126,130],"Remote":[20],"Sensing":[21],"Signal":[22],"Image":[24],"Processing":[25],"Laboratory":[26],"(RSSIPL)":[27],"at":[28],"University":[30],"Maryland,":[32],"Baltimore":[33],"County.":[34],"It":[35],"explores":[36],"applications":[37],"statistical":[39],"signal":[40],"processing":[41],"to":[42],"hyperspectral":[43,80],"imaging":[44],"further":[46],"develops":[47],"non-literal":[48],"(spectral)":[49],"techniques":[50,78],"subpixel":[52],"detection":[53],"mixed":[55],"pixel":[56],"classification.":[57],"This":[58,111],"text":[59],"first":[62],"its":[64],"kind":[65],"on":[66],"topic":[68],"can":[70,116],"be":[71],"considered":[72],"a":[73,119],"recipe":[74],"book":[75,112],"offering":[76],"various":[77],"data":[81],"exploitation.":[82],"In":[83],"particular,":[84],"some":[85],"known":[86],"techniques,":[87],"such":[88],"as":[89,118],"OSP":[90],"(Orthogonal":[91],"Subspace":[92],"Projection)":[93],"CEM":[95],"(Constrained":[96],"Energy":[97],"Minimization)":[98],"that":[99],"were":[100],"previously":[101],"developed":[102],"RSSIPL,":[105],"are":[106],"discussed":[107],"great":[109],"detail.":[110],"self-contained":[114],"serve":[117],"valuable":[120],"useful":[122],"reference":[123],"researchers":[125],"academia":[127],"practitioners":[129],"government":[131],"industry":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":41},{"year":2020,"cited_by_count":66},{"year":2019,"cited_by_count":57},{"year":2018,"cited_by_count":69},{"year":2017,"cited_by_count":61},{"year":2016,"cited_by_count":84},{"year":2015,"cited_by_count":76},{"year":2014,"cited_by_count":45},{"year":2013,"cited_by_count":50},{"year":2012,"cited_by_count":57}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}