{"id":"https://openalex.org/W2656195006","doi":"https://doi.org/10.4018/ijaci.2017070104","title":"Unsupervised Segmentation of Remote Sensing Images using FD Based Texture Analysis Model and ISODATA","display_name":"Unsupervised Segmentation of Remote Sensing Images using FD Based Texture Analysis Model and ISODATA","publication_year":2017,"publication_date":"2017-06-19","ids":{"openalex":"https://openalex.org/W2656195006","doi":"https://doi.org/10.4018/ijaci.2017070104","mag":"2656195006"},"language":"en","primary_location":{"id":"doi:10.4018/ijaci.2017070104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijaci.2017070104","pdf_url":null,"source":{"id":"https://openalex.org/S51041755","display_name":"International Journal of Ambient Computing and Intelligence","issn_l":"1941-6237","issn":["1941-6237","1941-6245"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Ambient Computing and Intelligence","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/A5057560464","display_name":"S. Hemalatha","orcid":"https://orcid.org/0000-0003-4499-1822"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Hemalatha","raw_affiliation_strings":["School of Information Technology, VIT University, Vellore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, VIT University, Vellore, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089589896","display_name":"S. Margret Anouncia","orcid":"https://orcid.org/0000-0003-1303-7526"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Margret Anouncia","raw_affiliation_strings":["School of Computer Science and Engineering, VIT University, Vellore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, VIT University, Vellore, India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":null,"apc_paid":null,"fwci":2.5254,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.93968814,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"8","issue":"3","first_page":"58","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9987000226974487,"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":0.9976000189781189,"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":0.9824000000953674,"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/computer-science","display_name":"Computer science","score":0.8053834438323975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7314485907554626},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.7202683687210083},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6699025630950928},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.6232286095619202},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6008332967758179},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5723332166671753},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.5608728528022766},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5423910617828369},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5231574773788452},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.46722304821014404},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4482111632823944},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41938528418540955},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4184165596961975},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2770000696182251},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.13163039088249207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8053834438323975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7314485907554626},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.7202683687210083},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6699025630950928},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.6232286095619202},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6008332967758179},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5723332166671753},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.5608728528022766},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5423910617828369},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5231574773788452},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.46722304821014404},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4482111632823944},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41938528418540955},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4184165596961975},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2770000696182251},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.13163039088249207},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijaci.2017070104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijaci.2017070104","pdf_url":null,"source":{"id":"https://openalex.org/S51041755","display_name":"International Journal of Ambient Computing and Intelligence","issn_l":"1941-6237","issn":["1941-6237","1941-6245"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Ambient Computing and Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jaci00:v:8:y:2017:i:3:p:58-75","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJACI.2017070104","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W819977924","https://openalex.org/W1020256256","https://openalex.org/W1488881187","https://openalex.org/W1530764742","https://openalex.org/W1532839958","https://openalex.org/W1549026517","https://openalex.org/W1603679155","https://openalex.org/W1966928092","https://openalex.org/W1971231468","https://openalex.org/W1976491960","https://openalex.org/W1977992028","https://openalex.org/W1992419399","https://openalex.org/W1994514915","https://openalex.org/W2010772901","https://openalex.org/W2044465660","https://openalex.org/W2071473098","https://openalex.org/W2072687696","https://openalex.org/W2075529649","https://openalex.org/W2097946161","https://openalex.org/W2107815783","https://openalex.org/W2111587247","https://openalex.org/W2114407479","https://openalex.org/W2121132012","https://openalex.org/W2130277161","https://openalex.org/W2132047332","https://openalex.org/W2133003941","https://openalex.org/W2137446479","https://openalex.org/W2147736794","https://openalex.org/W2154823510","https://openalex.org/W2168809519","https://openalex.org/W2168977926","https://openalex.org/W2170505850","https://openalex.org/W2184197344","https://openalex.org/W2185793836","https://openalex.org/W2228912402","https://openalex.org/W2263601773","https://openalex.org/W2291529341","https://openalex.org/W2298672219","https://openalex.org/W2394544944","https://openalex.org/W2495451202","https://openalex.org/W2560458561","https://openalex.org/W2621026548","https://openalex.org/W3016960874","https://openalex.org/W6633173463","https://openalex.org/W6676983759"],"related_works":["https://openalex.org/W2128126485","https://openalex.org/W1995889410","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W2777937183","https://openalex.org/W2108633818","https://openalex.org/W1752760603","https://openalex.org/W1517037119","https://openalex.org/W2138664739","https://openalex.org/W4389779246"],"abstract_inverted_index":{"In":[0,46],"this":[1,47],"paper,":[2],"an":[3,44],"unsupervised":[4],"segmentation":[5,32,54],"methodology":[6,87,109,151],"is":[7,33,50,71,81,146],"proposed":[8,86,108,150],"for":[9,73,83],"remotely":[10],"sensed":[11],"images":[12,78,94,100],"by":[13,55,132],"using":[14,138],"Fractional":[15],"Differential":[16],"(FD)":[17],"based":[18,67,129],"texture":[19,53,63,68,74,117],"analysis":[20,69,118],"model":[21,70],"and":[22,79,95,126,154],"Iterative":[23],"Self-Organizing":[24],"Data":[25],"Analysis":[26],"Technique":[27],"Algorithm":[28],"(ISODATA).":[29],"Essentially,":[30],"image":[31],"used":[34,82],"to":[35,40],"assign":[36],"unique":[37,62],"class":[38,58],"labels":[39],"different":[41],"regions":[42],"of":[43,106,114],"image.":[45],"work,":[48],"it":[49],"transformed":[51],"into":[52],"signifying":[56],"each":[57],"label":[59],"as":[60,121,135,137],"a":[61],"class.":[64],"The":[65,85,104],"FD":[66],"suggested":[72],"feature":[75],"extraction":[76],"from":[77,101,142],"ISODATA":[80],"segmentation.":[84],"was":[88],"first":[89],"implemented":[90],"on":[91,97],"artificial":[92],"target":[93],"then":[96],"remote":[98],"sensing":[99],"Google":[102],"Earth.":[103],"results":[105],"the":[107,115,149],"are":[110],"compared":[111],"with":[112],"those":[113],"other":[116],"methods":[119],"such":[120],"LBP":[122,153],"(Local":[123],"Binary":[124,130],"Pattern)":[125,131],"NBP":[127,155],"(Neighbors":[128],"visual":[133],"inspection":[134],"well":[136],"classification":[139],"measures":[140],"derived":[141],"confusion":[143],"matrix.":[144],"It":[145],"justified":[147],"that":[148],"outperforms":[152],"methods.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}