An Improved Combination of Spectral and Spatial Features for Vegetation Classification in Hyperspectral Images

An Improved Combination of Spectral and Spatial Features for Vegetation Classification in Hyperspectral Images

Due to the advances in hyperspectral sensor technology, hyperspectral images have gained great attention in precision agriculture. In practical applications, vegetation classification is usually required to be conducted first and then the vegetation of interest is discriminated from the others. This...

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Bibliographic Details
Main Authors: Yuanyuan Fu, Chunjiang Zhao, Jihua Wang, Xiuping Jia, Guijun Yang, Xiaoyu Song, Haikuan Feng
Format: Article
Language:English
Published: MDPI AG 2017-03-01
Series:Remote Sensing
Subjects:
hyperspectral image
vegetation classification
feature selection
scatter-matrix-based class separability
Gabor features
Online Access:http://www.mdpi.com/2072-4292/9/3/261

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http://www.mdpi.com/2072-4292/9/3/261

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