{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:33:47Z","timestamp":1750224827321,"version":"3.40.5"},"reference-count":0,"publisher":"IGI Global","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,1]]},"abstract":"<p>This paper put forward for the segmentation process on the hyperspectral remote sensing satellite scene. The prevailing algorithm, fuzzy c-means, is performed on this scene. Moreover, this algorithm is performed in both inter band as well as intra band clustering (i.e., band reduction and segmentation are performed by this algorithm). Furthermore, a band that has topmost variance is selected from every cluster. This structure diminishes these bands into three bands. This reduced band is de-correlated, and subsequently segmentation is carried out using this fuzzy algorithm.<\/p>","DOI":"10.4018\/ijfsa.2021100105","type":"journal-article","created":{"date-parts":[[2021,9,7]],"date-time":"2021-09-07T14:13:36Z","timestamp":1631024016000},"page":"79-100","source":"Crossref","is-referenced-by-count":2,"title":["Fuzzy C-Means Technique for Band Reduction and Segmentation of Hyperspectral Satellite Image"],"prefix":"10.4018","volume":"10","author":[{"family":"Saravanakumar V.","sequence":"first","affiliation":[{"name":"SreeNidhi Institute of Science and Technology, Hyderabad, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2414-1767","authenticated-orcid":true,"given":"Kavitha M.","family":"Saravanan","sequence":"additional","affiliation":[{"name":"Manonmaniam Sundaranar University, India"}]},{"family":"Balaram V. V. S. S. S.","sequence":"additional","affiliation":[{"name":"Sreenidhi Institute of Science and Technology, India"}]},{"family":"Anantha Sivaprakasam S.","sequence":"additional","affiliation":[{"name":"GVN College, India"}]}],"member":"2432","container-title":["International Journal of Fuzzy System Applications"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=288396","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T21:05:33Z","timestamp":1651871133000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJFSA.2021100105"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2021,10,1]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,10]]}},"URL":"https:\/\/doi.org\/10.4018\/ijfsa.2021100105","relation":{},"ISSN":["2156-177X","2156-1761"],"issn-type":[{"type":"print","value":"2156-177X"},{"type":"electronic","value":"2156-1761"}],"subject":[],"published":{"date-parts":[[2021,10,1]]}}}