Exploring Fuzzy Local Spatial Information Algorithms for Remote Sensing Image Classification

Exploring Fuzzy Local Spatial Information Algorithms for Remote Sensing Image Classification

Fuzzy c-means (FCM) and possibilistic c-means (PCM) are two commonly used fuzzy clustering algorithms for extracting land use land cover (LULC) information from satellite images. However, these algorithms use only spectral or grey-level information of pixels for clustering and ignore their spatial c...

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Bibliographic Details
Main Authors: Anjali Madhu, Anil Kumar, Peng Jia
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Remote Sensing
Subjects:
fuzzy classification
sub-pixel
fuzzy c-means (FCM)
possibilistic c-means (PCM)
local spatial information
spatial context
Online Access:https://www.mdpi.com/2072-4292/13/20/4163

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