{"id":"https://openalex.org/W2081161232","doi":"https://doi.org/10.1109/igarss.2015.7326104","title":"Hyperspectral change detection by using IR-MAD and synthetic image fusion","display_name":"Hyperspectral change detection by using IR-MAD and synthetic image fusion","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2081161232","doi":"https://doi.org/10.1109/igarss.2015.7326104","mag":"2081161232"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7326104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5005671801","display_name":"Jaewan Choi","orcid":"https://orcid.org/0000-0003-3967-6481"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaewan Choi","raw_affiliation_strings":["School of Civil Engineering, Chungbuk National University, Cheongju, Korea","[School of Civil Engineering, Chungbuk National University, Cheongju, Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Chungbuk National University, Cheongju, Korea","institution_ids":["https://openalex.org/I163753206"]},{"raw_affiliation_string":"[School of Civil Engineering, Chungbuk National University, Cheongju, Korea]","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088351292","display_name":"Biao Wang","orcid":"https://orcid.org/0000-0002-3594-7953"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Biao Wang","raw_affiliation_strings":["School of Civil Engineering, Chungbuk National University, Cheongju, Korea","[School of Civil Engineering, Chungbuk National University, Cheongju, Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Chungbuk National University, Cheongju, Korea","institution_ids":["https://openalex.org/I163753206"]},{"raw_affiliation_string":"[School of Civil Engineering, Chungbuk National University, Cheongju, Korea]","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089067334","display_name":"Guhyeok Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Guhyeok Kim","raw_affiliation_strings":["School of Civil Engineering, Chungbuk National University, Cheongju, Korea","[School of Civil Engineering, Chungbuk National University, Cheongju, Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Chungbuk National University, Cheongju, Korea","institution_ids":["https://openalex.org/I163753206"]},{"raw_affiliation_string":"[School of Civil Engineering, Chungbuk National University, Cheongju, Korea]","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085605622","display_name":"Youkyung Han","orcid":"https://orcid.org/0000-0001-6586-8503"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Youkyung Han","raw_affiliation_strings":["Center for Information and Communication Technology, Trento, Italy","Center for Information and Communication Technology, Fondazione Bruno Kessler, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Information and Communication Technology, Trento, Italy","institution_ids":[]},{"raw_affiliation_string":"Center for Information and Communication Technology, Fondazione Bruno Kessler, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1658","last_page":"1661"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9927999973297119,"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":0.9896000027656555,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9621909260749817},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.8472248315811157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7069079875946045},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6039931774139404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5772042274475098},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5480879545211792},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5418070554733276},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4821452796459198},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4788106083869934},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4748566150665283},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.42770856618881226},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40754640102386475}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9621909260749817},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.8472248315811157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7069079875946045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6039931774139404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5772042274475098},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5480879545211792},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5418070554733276},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4821452796459198},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4788106083869934},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4748566150665283},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.42770856618881226},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40754640102386475}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2015.7326104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1998595580","https://openalex.org/W2031601791","https://openalex.org/W2079740553","https://openalex.org/W2125824214","https://openalex.org/W2132625770","https://openalex.org/W2134213291"],"related_works":["https://openalex.org/W2329932281","https://openalex.org/W64535957","https://openalex.org/W2043790407","https://openalex.org/W2348902545","https://openalex.org/W2321247741","https://openalex.org/W2136313643","https://openalex.org/W2087564795","https://openalex.org/W4386159743","https://openalex.org/W2011367085","https://openalex.org/W2090564187"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,37,85],"modified":[3],"IR-MAD":[4],"based":[5],"on":[6],"the":[7,17,55,61,68,78,89,94],"generation":[8],"of":[9,19,46,57,70,80,99],"synthetically":[10,47],"fused":[11,30,48],"images":[12,32,49],"in":[13,60,73],"order":[14],"to":[15,24,43,53],"minimize":[16],"effect":[18],"change":[20],"detection":[21],"results":[22],"corresponding":[23],"noise":[25,59,96],"and":[26,92,97],"feature":[27],"reduction.":[28],"Synthetically":[29],"hyperspectral":[31,62,86],"were":[33,50],"first":[34],"generated":[35],"using":[36,88],"cross-sharpening":[38],"algorithm.":[39],"MAD":[40,71],"variates":[41,72],"according":[42],"each":[44],"pair":[45],"then":[51],"calculated":[52],"reduce":[54],"influence":[56],"data":[58,95],"image.":[63],"In":[64],"particular,":[65],"we":[66,83],"applied":[67],"integration":[69],"this":[74],"study.":[75],"To":[76],"evaluate":[77],"performance":[79],"our":[81],"algorithm,":[82],"constructed":[84],"dataset":[87],"Hyperion":[90],"sensor":[91],"analyzed":[93],"bands":[98],"principal":[100],"components.":[101]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}