Region-Based Relaxed Multiple Kernel Collaborative Representation for Hyperspectral Image Classification

Region-Based Relaxed Multiple Kernel Collaborative Representation for Hyperspectral Image Classification

This paper presents a region-based relaxed multiple kernel collaborative representation method for the spatial-spectral classification of hyperspectral images. The proposed method consists of three steps. In the first step, a multiscale method achieved by extending a superpixel segmentation algorith...

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Bibliographic Details
Main Authors: Jianjun Liu, Zebin Wu, Zhiyong Xiao, Jinlong Yang
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Image classification
hyperspectral
multiple kernels
superpixel segmentation
kernel collaborative representation
column generation
Online Access:https://ieeexplore.ieee.org/document/8053753/

Internet

https://ieeexplore.ieee.org/document/8053753/

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