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 each spectral curve corresponds to a distinct semantic context. In this article, we propose a spectral-constrained generative adversarial network (SCGAN) for hyperspectral compression. Specifically, SCGAN integrates compr…