On Spectral-Spatial Classification of Hyperspectral Images Using Image Denoising and Enhancement Techniques, Wavelet Transforms and Controlled Data Set Partitioning

On Spectral-Spatial Classification of Hyperspectral Images Using Image Denoising and Enhancement Techniques, Wavelet Transforms and Controlled Data Set Partitioning

Obtaining relevant classification results for hyperspectral images depends on the quality of the data and the proposed selection of the samples and descriptors for the training and testing phases. We propose a hyperspectral image classification machine learning framework based on image processing te...

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Bibliographic Details
Main Authors: Andreia Valentina Miclea, Romulus Mircea Terebes, Serban Meza, Mihaela Cislariu
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
classification
hyperspectral
LBP
support vector machine
controlled random sampling
shock filters
Online Access:https://www.mdpi.com/2072-4292/14/6/1475

Internet

https://www.mdpi.com/2072-4292/14/6/1475

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