Flexible Gabor-Based Superpixel-Level Unsupervised LDA for Hyperspectral Image Classification

Hyperspectral images encompass abundant information and provide unique characteristics for material classification. However, the labeling of training samples can be challenging in hyperspectral image classification. To address this problem, this study proposes a framework named flexible Gabor-based...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2021-12, Vol.59 (12), p.10394-10409
Main Authors: Jia, Sen, Zhao, Qingqing, Zhuang, Jiayue, Tang, Dingding, Long, Yaqian, Xu, Meng, Zhou, Jun, Li, Qingquan
Format: Article
Language:English
Subjects:
Algorithms
Classification
Computer applications
Data mining
Discriminant analysis
Electromagnetic wave filters
Entropy
Feature extraction
Gabor filters
hyperspectral image classification
Hyperspectral imaging
Image classification
Image segmentation
Linear discriminant analysis
linear discriminant analysis (LDA)
Sine waves
superpixel segmentation
Support vector machines
Training
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