{"id":"https://openalex.org/W2039234414","doi":"https://doi.org/10.1109/igarss.2014.6946473","title":"Independent component analysis based band selection of multispectral remote sensing image","display_name":"Independent component analysis based band selection of multispectral remote sensing image","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2039234414","doi":"https://doi.org/10.1109/igarss.2014.6946473","mag":"2039234414"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2014.6946473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6946473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 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/A5034356357","display_name":"Yinggang Zhang","orcid":"https://orcid.org/0000-0003-2644-3902"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinggang Zhang","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China","College of Information Science and Technology; Beijing Normal University; Beijing 100875 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"College of Information Science and Technology; Beijing Normal University; Beijing 100875 China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101778277","display_name":"Xianchuan Yu","orcid":"https://orcid.org/0000-0003-0742-5135"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianchuan Yu","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China","College of Information Science and Technology; Beijing Normal University; Beijing 100875 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"College of Information Science and Technology; Beijing Normal University; Beijing 100875 China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074672186","display_name":"Guian Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guian Wang","raw_affiliation_strings":["Library, Beijing Normal University, Beijing, China","Library,Beijing Normal University,Beijing 100875,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Library, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Library,Beijing Normal University,Beijing 100875,China)","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076859183","display_name":"Xin Zhou","orcid":"https://orcid.org/0000-0003-2814-3399"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhou","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China","College of Information Science and Technology; Beijing Normal University; Beijing 100875 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"College of Information Science and Technology; Beijing Normal University; Beijing 100875 China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.4588,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69970943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"517","last_page":"520"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976000189781189,"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":0.9976000189781189,"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":0.991599977016449,"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":0.9894999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.892202615737915},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6616206169128418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6127358675003052},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6094626188278198},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5780383348464966},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.5262486338615417},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.5223285555839539},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41770634055137634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39388468861579895},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37980422377586365},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33809059858322144},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20182061195373535},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07117366790771484}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.892202615737915},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6616206169128418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6127358675003052},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6094626188278198},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5780383348464966},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.5262486338615417},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.5223285555839539},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41770634055137634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39388468861579895},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37980422377586365},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33809059858322144},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20182061195373535},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07117366790771484},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2014.6946473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6946473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6299999952316284}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315254","display_name":"Innovative Research Group Project of the National Natural Science Foundation of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1789866355","https://openalex.org/W2012113589","https://openalex.org/W2054658115","https://openalex.org/W2080803724","https://openalex.org/W2094304765","https://openalex.org/W2109836508","https://openalex.org/W2138038253","https://openalex.org/W2142635246","https://openalex.org/W2165755981","https://openalex.org/W2168175751"],"related_works":["https://openalex.org/W2128126485","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W2777937183","https://openalex.org/W2108633818","https://openalex.org/W1752760603","https://openalex.org/W1995889410","https://openalex.org/W4389779246","https://openalex.org/W1517037119","https://openalex.org/W2125510194"],"abstract_inverted_index":{"The":[0,51],"band":[1,24,38,83,97],"selection":[2,25,39],"of":[3,27,57],"multispectral":[4],"remote":[5,16,35],"sensing":[6,17,36],"image":[7,18,37],"is":[8,46],"a":[9,33],"key":[10],"issue":[11],"and":[12,64,69,92,106,119,124],"hot":[13],"topic":[14],"in":[15,48],"processing":[19],"domain.":[20],"Considering":[21],"that":[22],"the":[23,55,71,81,85,96,102,111,117,122],"results":[26,99,108],"methods":[28],"are":[29],"usually":[30],"not":[31],"satisfying,":[32],"novel":[34],"method":[40,53,114],"based":[41],"on":[42],"independent":[43,58,67,76,90],"component":[44],"analysis":[45],"proposed":[47,52,113],"this":[49],"paper.":[50],"determine":[54],"number":[56],"components":[59],"according":[60],"to":[61,88],"\u201cVirtual":[62],"dimension\u201d,":[63],"then":[65],"sort":[66,80],"components,":[68,91],"select":[70,116],"top-ranking":[72],"bands":[73,82,103],"as":[74],"important":[75,89],"components.":[77],"After":[78],"that,":[79,110],"by":[84],"contribution":[86],"rate":[87],"finally":[93],"we":[94],"get":[95],"combination":[98],"after":[100],"remove":[101],"correlation.":[104],"Statistical":[105],"visual":[107],"show":[109],"new":[112],"can":[115],"effectively":[118],"efficiently":[120],"enhance":[121],"rock":[123],"soil":[125],"information.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
