Hyperspectral Image Classification for Land Cover Based on an Improved Interval Type-II Fuzzy C-Means Approach

Few studies have examined hyperspectral remote-sensing image classification with type-II fuzzy sets. This paper addresses image classification based on a hyperspectral remote-sensing technique using an improved interval type-II fuzzy c-means (IT2FCM*) approach. In this study, in contrast to other tr...

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Bibliographic Details
Main Authors: Hongyuan Huo, Jifa Guo, Zhao-Liang Li
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/2/363