{"id":"https://openalex.org/W3170992200","doi":"https://doi.org/10.1109/lgrs.2021.3079710","title":"Unsupervised Land-Cover Segmentation Using Accelerated Balanced Deep Embedded Clustering","display_name":"Unsupervised Land-Cover Segmentation Using Accelerated Balanced Deep Embedded Clustering","publication_year":2021,"publication_date":"2021-05-28","ids":{"openalex":"https://openalex.org/W3170992200","doi":"https://doi.org/10.1109/lgrs.2021.3079710","mag":"3170992200"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3079710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3079710","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5006741258","display_name":"Ahmad Obeid","orcid":"https://orcid.org/0000-0002-8297-5834"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Ahmad Obeid","raw_affiliation_strings":["Department of Electrical and Computer Sciences and the Center for Autonomous Robotic Systems (KUCARS), Khalifa University, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Sciences and the Center for Autonomous Robotic Systems (KUCARS), Khalifa University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I176601375"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048725993","display_name":"Ibrahim M. Elfadel","orcid":"https://orcid.org/0000-0003-3220-9987"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Ibrahim M. Elfadel","raw_affiliation_strings":["Department of Electrical and Computer Sciences and the Center for Cyber Physical Systems (C2PS), Khalifa University, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Sciences and the Center for Cyber Physical Systems (C2PS), Khalifa University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I176601375"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059512412","display_name":"Naoufel Werghi","orcid":"https://orcid.org/0000-0002-5542-448X"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Naoufel Werghi","raw_affiliation_strings":["Department of Electrical and Computer Sciences and the Center for Autonomous Robotic Systems (KUCARS), Khalifa University, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Sciences and the Center for Autonomous Robotic Systems (KUCARS), Khalifa University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I176601375"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006741258"],"corresponding_institution_ids":["https://openalex.org/I176601375"],"apc_list":null,"apc_paid":null,"fwci":0.8821,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77005061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"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":0.9991999864578247,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.868445873260498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8367365002632141},{"id":"https://openalex.org/keywords/parallelizable-manifold","display_name":"Parallelizable manifold","score":0.7094166278839111},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.6258984208106995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5984602570533752},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.587378740310669},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5432021617889404},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.49922847747802734},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.4757615923881531},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.45977649092674255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44912010431289673},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4310798645019531},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42047318816185},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.41745051741600037},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21517258882522583},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.14008888602256775}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.868445873260498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8367365002632141},{"id":"https://openalex.org/C148047603","wikidata":"https://www.wikidata.org/wiki/Q1014612","display_name":"Parallelizable manifold","level":2,"score":0.7094166278839111},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.6258984208106995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5984602570533752},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.587378740310669},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5432021617889404},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.49922847747802734},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.4757615923881531},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.45977649092674255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44912010431289673},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4310798645019531},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42047318816185},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.41745051741600037},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21517258882522583},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.14008888602256775}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2021.3079710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3079710","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1993962865","https://openalex.org/W1996663388","https://openalex.org/W2037994585","https://openalex.org/W2060993590","https://openalex.org/W2095088894","https://openalex.org/W2114819256","https://openalex.org/W2148143831","https://openalex.org/W2338318698","https://openalex.org/W2757208835","https://openalex.org/W2773496001","https://openalex.org/W2783411543","https://openalex.org/W2793375005","https://openalex.org/W2800575711","https://openalex.org/W2887451702","https://openalex.org/W2887974490","https://openalex.org/W2896805537","https://openalex.org/W2903322478","https://openalex.org/W2908698261","https://openalex.org/W2963558844","https://openalex.org/W2963832384","https://openalex.org/W2964074409","https://openalex.org/W2974017916","https://openalex.org/W2990500698","https://openalex.org/W2990604239","https://openalex.org/W3088148076","https://openalex.org/W6665644196","https://openalex.org/W6682141768","https://openalex.org/W6685380521","https://openalex.org/W6754375387","https://openalex.org/W6756921088","https://openalex.org/W6760959176","https://openalex.org/W6768153034"],"related_works":["https://openalex.org/W37188521","https://openalex.org/W2163563073","https://openalex.org/W2357149509","https://openalex.org/W2362911195","https://openalex.org/W3168768270","https://openalex.org/W2185743328","https://openalex.org/W2782648987","https://openalex.org/W2036503911","https://openalex.org/W2970954390","https://openalex.org/W3170992200"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"we":[3],"address":[4],"the":[5,8,26,30,46],"issue":[6],"of":[7,11,29,65],"automatic":[9],"labeling":[10],"remote":[12],"sensing":[13],"datasets":[14],"using":[15,39],"a":[16],"novel":[17],"deep":[18,31],"learning":[19],"clustering":[20,33,70,78],"algorithm.":[21],"The":[22],"proposed":[23,47],"algorithm":[24,35,48],"addresses":[25],"inherent":[27],"susceptibility":[28],"embedded":[32],"(DEC)":[34],"to":[36,60,63,74],"data":[37],"imbalance":[38],"additional":[40],"search":[41],"and":[42,68,76],"extraction":[43],"steps.":[44],"Furthermore,":[45],"is":[49,58],"highly":[50],"parallelizable.":[51],"A":[52],"graphics":[53],"processing":[54],"unit":[55],"(GPU)":[56],"implementation":[57],"shown":[59],"achieve":[61],"40X":[62],"2600X":[64],"performance":[66],"speedup":[67],"improved":[69],"accuracy":[71],"with":[72],"respect":[73],"DEC":[75],"other":[77],"approaches.":[79]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}