{"id":"https://openalex.org/W2548228914","doi":"https://doi.org/10.1109/igarss.2016.7730882","title":"Superresolution of hyperspectral images using spectral unmixing and sparse regularization","display_name":"Superresolution of hyperspectral images using spectral unmixing and sparse regularization","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2548228914","doi":"https://doi.org/10.1109/igarss.2016.7730882","mag":"2548228914"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7730882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5010337036","display_name":"Zahra Hashemi Nezhad","orcid":null},"institutions":[{"id":"https://openalex.org/I115566878","display_name":"Shahid Bahonar University of Kerman","ror":"https://ror.org/04zn42r77","country_code":"IR","type":"education","lineage":["https://openalex.org/I115566878"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Zahra Hashemi Nezhad","raw_affiliation_strings":["Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran","institution_ids":["https://openalex.org/I115566878"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046045649","display_name":"Azam Karami","orcid":"https://orcid.org/0000-0002-9820-4217"},"institutions":[{"id":"https://openalex.org/I115566878","display_name":"Shahid Bahonar University of Kerman","ror":"https://ror.org/04zn42r77","country_code":"IR","type":"education","lineage":["https://openalex.org/I115566878"]},{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE","IR"],"is_corresponding":false,"raw_author_name":"Azam Karami","raw_affiliation_strings":["Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran","iMinds- Visionlab, University of Antwerp, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran","institution_ids":["https://openalex.org/I115566878"]},{"raw_affiliation_string":"iMinds- Visionlab, University of Antwerp, Belgium","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I149213910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048918209","display_name":"Rob Heylen","orcid":"https://orcid.org/0000-0002-8341-9397"},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Rob Heylen","raw_affiliation_strings":["iMinds- Visionlab, University of Antwerp, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"iMinds- Visionlab, University of Antwerp, Belgium","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I149213910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009310543","display_name":"Paul Scheunders","orcid":"https://orcid.org/0000-0003-2447-4772"},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Paul Scheunders","raw_affiliation_strings":["iMinds- Visionlab, University of Antwerp, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"iMinds- Visionlab, University of Antwerp, Belgium","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I149213910"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":null,"first_page":"7216","last_page":"7219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8983504176139832},{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.8890076279640198},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.8306280374526978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6928045749664307},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6818680763244629},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6563223600387573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6347799301147461},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.548989474773407},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5252325534820557},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4578416049480438},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.44898679852485657},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3375203609466553},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25662708282470703},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14538708329200745}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8983504176139832},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.8890076279640198},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8306280374526978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6928045749664307},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6818680763244629},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6563223600387573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6347799301147461},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.548989474773407},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5252325534820557},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4578416049480438},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.44898679852485657},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3375203609466553},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25662708282470703},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14538708329200745}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7730882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.49000000953674316}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323424","display_name":"Universidade de Lisboa","ror":"https://ror.org/01c27hj86"},{"id":"https://openalex.org/F4320328988","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33"},{"id":"https://openalex.org/F4320335226","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/01c27hj86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W314124109","https://openalex.org/W1990231296","https://openalex.org/W2084225223","https://openalex.org/W2100705753","https://openalex.org/W2126025632","https://openalex.org/W2157321686","https://openalex.org/W2160547390","https://openalex.org/W2162842940","https://openalex.org/W2963442801","https://openalex.org/W6601269228","https://openalex.org/W6611038466"],"related_works":["https://openalex.org/W2158394102","https://openalex.org/W1930929277","https://openalex.org/W2361746014","https://openalex.org/W1502637513","https://openalex.org/W2124952510","https://openalex.org/W2375311607","https://openalex.org/W2022261651","https://openalex.org/W4285005667","https://openalex.org/W2950729865","https://openalex.org/W2565514930"],"abstract_inverted_index":{"Unlike":[0],"multispectral":[1],"(MSI)":[2],"and":[3,57],"panchromatic":[4],"(PAN)":[5],"images,":[6],"the":[7,52,64,76,90,97],"spatial":[8,27,100],"resolution":[9,28,45,101],"of":[10,39,60,63,75,83],"hyperspectral":[11],"images":[12],"(HSI)":[13],"is":[14,41,48,93],"limited.":[15],"In":[16,31],"many":[17],"applications,":[18],"HSI":[19,40,46,99],"with":[20],"a":[21,34,61,68,72,81],"high":[22,44],"spectral":[23,54],"as":[24,26],"well":[25],"are":[29],"required.":[30],"this":[32],"paper,":[33],"new":[35],"method":[36],"for":[37],"superresolution":[38],"introduced.":[42],"A":[43],"(HRHSI)":[47],"constructed":[49],"by":[50,79],"using":[51],"linear":[53],"unmixing":[55],"model":[56],"making":[58],"use":[59],"MSI":[62],"same":[65],"scene.":[66],"As":[67],"regularization,":[69],"we":[70],"apply":[71],"sparse":[73],"representation":[74],"HSI,":[77],"obtained":[78],"constructing":[80],"dictionary":[82],"unrelated":[84],"PAN":[85],"images.":[86],"Experiments":[87],"show":[88],"that":[89],"reconstruction":[91],"quality":[92],"higher":[94],"than":[95],"some":[96],"well-known":[98],"enhancement":[102],"methods.":[103]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}