{"title":"Unsupervised Hyperspectral Band Selection using Clustering and Single-Layer Neural Network","authors":"Mateus Habermann, V. Fremont, E. H. Shiguemori","doi":"10.52638/rfpt.2018.419","DOIUrl":null,"url":null,"abstract":"Hyperspectral images provide rich spectral details of the observed scene by exploiting contiguous bands.But, the processing of such images becomes heavy, due to the high dimensionality.Thus, band selection is a practice that has been adopted before any further processing takes place.Therefore, in this paper, a new unsupervised method for band selection based on clustering and neural network is proposed. A comparison with six other band selection frameworks shows the strength of the proposed method.","PeriodicalId":285609,"journal":{"name":"Revue Française de Photogrammétrie et de Télédétection","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revue Française de Photogrammétrie et de Télédétection","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52638/rfpt.2018.419","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Hyperspectral images provide rich spectral details of the observed scene by exploiting contiguous bands.But, the processing of such images becomes heavy, due to the high dimensionality.Thus, band selection is a practice that has been adopted before any further processing takes place.Therefore, in this paper, a new unsupervised method for band selection based on clustering and neural network is proposed. A comparison with six other band selection frameworks shows the strength of the proposed method.