Spectral Constrained Generative Adversarial Network for Hyperspectral Compression

Lossy compression exhibits remarkable capabilities in handling large volumes of data. However, information loss can affect spectral characteristics and spatial information to various degrees during hyperspectral compression. Therefore, it is essential to restrict the range of spectral changes, as ea...

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Bibliographic Details
Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Yuanyuan Guo, Weizhong Li, Qi Peng, Lifen Tu
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Classification map generative adversarial learning hyperspectral compression semantic context
Online Access:	https://ieeexplore.ieee.org/document/11129632/

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