Hyperspectral Image Classification

Sure, here is the edited text in English: Classifying hyperspectral images is a task in the field of remote sensing and computer vision that aims to categorize pixels based on their spectral characteristics. Hyperspectral images contain hundreds of contiguous, narrow-band reflectance data, making them ideal for applications such as mineral mapping, vegetation analysis, and urban land use. The objective of this task is to accurately identify and classify various ground object types in the image, such as soil, vegetation, water bodies, and buildings, by analyzing their spectral attributes.