Local Binary Patterns and Superpixel-Based Multiple Kernels for Hyperspectral Image Classification

Local Binary Patterns and Superpixel-Based Multiple Kernels for Hyperspectral Image Classification

The superpixel-based multiple kernels model uses the average value of all pixels within superpixel as the spatial feature, which results in inaccurate extraction of edge pixels. To solve this problem, a local binary patterns and superpixel-based multiple kernels method is proposed for hyperspectral...

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Bibliographic Details
Main Authors: Wei Huang, Yao Huang, Hua Wang, Yan Liu, Hiuk Jae Shim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Hyperspectral image (HSI)
local binary mode (LBP)
multiple kernels (MK)
superpixel
support vector machine (SVM)
Online Access:https://ieeexplore.ieee.org/document/9160871/

Internet

https://ieeexplore.ieee.org/document/9160871/

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