SuperPCA and 2-D compact variational mode decomposition for feature extraction from hyperspectral images

Author:

Zhuo Renxiong1,Guo Yunfei1,Guo Baofeng1,Liu Baoyang1,Dai Fan1

Affiliation:

1. School of Automation, Hangzhou Dianzi University, Hangzhou, China

Funder

the Key Program National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Zhejiang Provincial Science and Technology Project

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Reference30 articles.

1. Ahmad, M., A. Mehmood Khan, M. Mazzara, S. Distefano, and M. Shahzad Sarfraz. 2021. “A Fast and Compact 3-D CNN for Hyperspectral Image Classification.” In IEEE Geoscience and Remote Sensing Letters, 1–5. https://doi.org/10.1109/lgrs.2020.3043710.

2. Band Grouping SuperPCA for Feature Extraction and Extended Morphological Profile Production From Hyperspectral Images

3. Survey on SVM and their application in image classification

4. Demir, B., and S. Erturk. 2010. “Empirical Mode Decomposition of Hyperspectral Images for Support Vector Machine Classification.” In IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/tgrs.2010.2070510.

5. Improving GAN-based feature extraction for hyperspectral images classification

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