Adversarial MixUp with implicit semantic preservation for semi-supervised hyperspectral image classification

Author:

Wang Leiquan,Zhou Jialiang,Li Zhongwei,Zhao Xin,Wu Chunlei,Xu Mingming

Funder

Natural Science Foundation of Shandong Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference55 articles.

1. Hyperspectral remote sensing data analysis and future challenges;Bioucas-Dias;IEEE Geosci. Remote Sens. Mag.,2013

2. Hyperspectral tree species classification of Japanese complex mixed forest with the aid of lidar data;Matsuki;Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of,2015

3. Minerals detection for hyperspectral images using adapted linear unmixing: linmin;Schmidt;Icarus,2014

4. Hyperspectral remote sensing image subpixel target detection based on supervised metric learning;Zhang;IEEE Transactions on Geoscience Remote Sensing,2014

5. Hyperspectral image classification powered by khatri-rao decomposition-based multinomial logistic regression;Wang;IEEE Trans. Geosci. Remote Sens.,2022

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