Hyperspectral Image Classification

Translating the given Chinese text into English: Classifying hyperspectral images is a task in the field of remote sensing and computer vision, aiming to categorize pixels based on their spectral characteristics. Hyperspectral images contain hundreds of contiguous narrow-band reflectance information, making them suitable for applications such as mineral mapping, vegetation analysis, and urban land use. The goal of this task is to accurately identify and classify different ground object types in the image, such as soil, vegetation, water bodies, and buildings, through their spectral attributes.