{"id":"https://openalex.org/W2989196919","doi":"https://doi.org/10.1109/igarss.2019.8900363","title":"Uniform Band Interval Divided Band Selection","display_name":"Uniform Band Interval Divided Band Selection","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2989196919","doi":"https://doi.org/10.1109/igarss.2019.8900363","mag":"2989196919"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8900363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8900363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International 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/A5026674606","display_name":"Fang Li","orcid":"https://orcid.org/0000-0002-5061-2510"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fang Li","raw_affiliation_strings":["Center of Hyperspectral Imaging in Remote Sensing, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Center of Hyperspectral Imaging in Remote Sensing, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000641583","display_name":"Hongju Cao","orcid":"https://orcid.org/0000-0002-8725-4681"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongju Cao","raw_affiliation_strings":["Center of Hyperspectral Imaging in Remote Sensing, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Center of Hyperspectral Imaging in Remote Sensing, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019546610","display_name":"Xiaodi Shang","orcid":"https://orcid.org/0000-0002-0133-8447"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodi Shang","raw_affiliation_strings":["Center of Hyperspectral Imaging in Remote Sensing, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Center of Hyperspectral Imaging in Remote Sensing, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101405735","display_name":"Meiping Song","orcid":"https://orcid.org/0000-0002-4489-5470"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiping Song","raw_affiliation_strings":["Center of Hyperspectral Imaging in Remote Sensing, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Center of Hyperspectral Imaging in Remote Sensing, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624941","display_name":"Chunyan Yu","orcid":"https://orcid.org/0000-0002-9260-6629"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyan Yu","raw_affiliation_strings":["Center of Hyperspectral Imaging in Remote Sensing, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Center of Hyperspectral Imaging in Remote Sensing, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073412670","display_name":"Chein\u2010I Chang","orcid":"https://orcid.org/0000-0002-5450-4891"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chein-I Chang","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore, MD, USA","institution_ids":["https://openalex.org/I126744593"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5026674606"],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":0.1785,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57557569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3816","last_page":"3819"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","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/T10689","display_name":"Remote-Sensing Image Classification","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/T10860","display_name":"Speech and Audio Processing","score":0.9944000244140625,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/selection","display_name":"Selection (genetic algorithm)","score":0.675782322883606},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5590114593505859},{"id":"https://openalex.org/keywords/decorrelation","display_name":"Decorrelation","score":0.5328500866889954},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4955655336380005},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.48136788606643677},{"id":"https://openalex.org/keywords/frequency-band","display_name":"Frequency band","score":0.4714397192001343},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4368937313556671},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4348873496055603},{"id":"https://openalex.org/keywords/c-band","display_name":"C band","score":0.42817386984825134},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.42397546768188477},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38041070103645325},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1688554883003235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15446925163269043},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12083256244659424},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11865028738975525},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.08187362551689148}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.675782322883606},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5590114593505859},{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.5328500866889954},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4955655336380005},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.48136788606643677},{"id":"https://openalex.org/C2778116611","wikidata":"https://www.wikidata.org/wiki/Q25110567","display_name":"Frequency band","level":3,"score":0.4714397192001343},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4368937313556671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4348873496055603},{"id":"https://openalex.org/C63944557","wikidata":"https://www.wikidata.org/wiki/Q27786604","display_name":"C band","level":2,"score":0.42817386984825134},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.42397546768188477},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38041070103645325},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1688554883003235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15446925163269043},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12083256244659424},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11865028738975525},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.08187362551689148},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8900363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8900363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1910604087","https://openalex.org/W1968589019","https://openalex.org/W2040648638","https://openalex.org/W2047029347","https://openalex.org/W2078491260","https://openalex.org/W2117741752","https://openalex.org/W2138038253","https://openalex.org/W2150990614","https://openalex.org/W2530006000","https://openalex.org/W2743091961","https://openalex.org/W2782781942","https://openalex.org/W3195212285"],"related_works":["https://openalex.org/W1637798125","https://openalex.org/W2367926634","https://openalex.org/W2807472028","https://openalex.org/W2127930101","https://openalex.org/W3016086785","https://openalex.org/W4283023959","https://openalex.org/W4385722708","https://openalex.org/W3090526322","https://openalex.org/W1533057767","https://openalex.org/W3162114539"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,19,23,31,42,83,96],"new":[4],"band":[5,10,13,20,27,32,38,45,86,93,100],"selection":[6,14],"approach,":[7],"called":[8],"uniform":[9],"interval":[11,39],"divided":[12],"(UBIDBS)":[15],"which":[16,30],"uniformly":[17],"divides":[18],"range":[21],"into":[22],"finite":[24],"number":[25],"of":[26,92],"intervals":[28],"from":[29,36,57,71],"can":[33],"be":[34,88],"selected":[35,89],"each":[37,91],"according":[40],"to":[41,81,87,105],"custom":[43],"designed":[44],"prioritization":[46],"(BP)":[47],"criterion.":[48],"Two":[49],"BP":[50,104],"criteria":[51,78],"are":[52],"introduced.":[53],"One":[54],"is":[55,64],"derived":[56],"orthogonal":[58],"subspace":[59],"projection":[60],"(OSP).":[61],"The":[62],"other":[63],"based":[65],"on":[66],"correlation":[67],"matrix":[68],"R":[69],"originated":[70],"constrained":[72],"energy":[73],"minimization":[74],"(CEM).":[75],"These":[76],"two":[77],"allow":[79],"users":[80],"identify":[82],"most":[84],"significant":[85],"in":[90],"intervals.":[94],"As":[95],"result,":[97],"it":[98],"avoids":[99],"decorrelation":[101],"required":[102],"by":[103],"remove":[106],"adjacent":[107],"high-":[108],"correlated":[109],"bands.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
