{"id":"https://openalex.org/W2766492534","doi":"https://doi.org/10.1109/whispers.2013.8080625","title":"A hybrid segmentation technique for objected-based hyperspectral data classification over complex sub-urban landscape","display_name":"A hybrid segmentation technique for objected-based hyperspectral data classification over complex sub-urban landscape","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2766492534","doi":"https://doi.org/10.1109/whispers.2013.8080625","mag":"2766492534"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2013.8080625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2013.8080625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5100672322","display_name":"Zhi Huang","orcid":"https://orcid.org/0000-0003-1760-062X"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhi Huang","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024631382","display_name":"Xiuping Jia","orcid":"https://orcid.org/0000-0001-9916-6382"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuping Jia","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3849392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9944000244140625,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9911999702453613,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9182360172271729},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7712008357048035},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.7296509146690369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7084466218948364},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6553002595901489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6545959115028381},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.6346952319145203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5830549597740173},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5028817057609558},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.4567162096500397},{"id":"https://openalex.org/keywords/minimum-spanning-tree-based-segmentation","display_name":"Minimum spanning tree-based segmentation","score":0.44902005791664124},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4243738055229187},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37399396300315857},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18227949738502502}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9182360172271729},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7712008357048035},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7296509146690369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7084466218948364},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6553002595901489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6545959115028381},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.6346952319145203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5830549597740173},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5028817057609558},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.4567162096500397},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.44902005791664124},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4243738055229187},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37399396300315857},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18227949738502502}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2013.8080625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2013.8080625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1999606853","https://openalex.org/W2044439250","https://openalex.org/W2049633694","https://openalex.org/W2095771309","https://openalex.org/W2115451191","https://openalex.org/W2119879130","https://openalex.org/W2127808402","https://openalex.org/W2135705692","https://openalex.org/W2149471024","https://openalex.org/W2164437025","https://openalex.org/W2332821778","https://openalex.org/W2491899631","https://openalex.org/W2981849677","https://openalex.org/W6769377118"],"related_works":["https://openalex.org/W2551987074","https://openalex.org/W2394279717","https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2353364291","https://openalex.org/W2531745538","https://openalex.org/W2372421320","https://openalex.org/W2359699469","https://openalex.org/W2386644571","https://openalex.org/W2364730859"],"abstract_inverted_index":{"In":[0],"this":[1],"study":[2],"a":[3,53,60],"hybrid":[4],"segmentation":[5,12,18,37],"algorithm":[6],"is":[7,39,50],"developed":[8],"to":[9],"overcome":[10],"over":[11,59],"and":[13,31],"under":[14],"segmentation.":[15],"The":[16,44,64],"reliable":[17],"results":[19,65],"are":[20],"critical":[21],"for":[22],"object":[23],"based":[24],"hyperspectral":[25,54],"image":[26,55],"classification":[27],"using":[28,52],"both":[29],"spectral":[30],"spatial":[32],"information.":[33],"A":[34],"multi":[35],"resolution":[36],"approach":[38],"adopted":[40],"with":[41],"further":[42],"improvement.":[43],"application":[45],"of":[46],"the":[47,67,71],"proposed":[48,72],"procedure":[49],"demonstrated":[51],"acquired":[56],"by":[57,70],"HyMap":[58],"complex":[61],"sub-urban":[62],"landscape.":[63],"show":[66],"improvement":[68],"provided":[69],"method.":[73]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
