hyperspectral image clustering

Clustering of hyperspectral images is an advanced technique in the field of computer vision, aimed at achieving unsupervised classification by analyzing the multidimensional spectral information of pixels in hyperspectral images. This method extracts and utilizes the spectral features within the image to group pixels with similar characteristics into the same category, thereby revealing the intrinsic structure and patterns of the image. Hyperspectral image clustering has significant application value in remote sensing image processing, environmental monitoring, material identification, and medical image analysis, as it can enhance the accuracy and efficiency of data processing.