Superpixel-guided multifeature tensor for hyperspectral image classification with limited training samples

Author:

Wang PengORCID,Zheng ChengyongORCID,Liu SaihuaORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference49 articles.

1. New frontiers in spectral-spatial hyperspectral image classification: The latest advances based on mathematical morphology, Markov random fields, segmentation, sparse representation, and deep learning;Ghamisi;IEEE Geosci. Remote Sens. Mag.,2018

2. Unsupervised deep slow feature analysis for change detection in multi-temporal remote sensing images;Du;IEEE Trans. Geosci. Remote Sens.,2019

3. Classification of very high spatial resolution imagery using mathematical morphology and support vector machines;Tuia;IEEE Trans. Geosci. Remote Sens.,2009

4. Multisource compensation network for remote sensing cross-domain scene classification;Lu;IEEE Trans. Geosci. Remote Sens.,2020

5. Adaptive spectral-spatial feature fusion network for hyperspectral image classification using limited training samples;Gao;Int. J. Appl. Earth Obs. Geoinf.,2022

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