Abstract. Rapid advancement in the development of hyperspectral image analysis techniques has led to specialized hyperspectral missions. It results in the bulk transmission of hyperspectral images from sensors to analysis centers and finally to data centers. Storage of these large size images is a critical issue that is handled by compression techniques. This survey focuses on different hyperspectral image compression algorithms that have been classified into two broad categories based on eight internal and six external parameters. In addition, we identified research challenges and suggested future scope for each technique. The detailed classification used in this paper can categorize other compression algorithms and may help in selecting research objectives.

中文翻译：

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高光谱图像压缩算法综合回顾

摘要。高光谱图像分析技术的快速发展导致了专门的高光谱任务。它导致高光谱图像从传感器到分析中心，最后到数据中心的大量传输。这些大尺寸图像的存储是由压缩技术处理的关键问题。本次调查重点关注不同的高光谱图像压缩算法，这些算法根据八个内部参数和六个外部参数分为两大类。此外，我们确定了研究挑战并建议了每种技术的未来范围。本文中使用的详细分类可以对其他压缩算法进行分类，并可能有助于选择研究目标。