{"url":"/sota/hyperspectral-image-classification-on-salinas-1","task":{"name":"Hyperspectral Image Classification","url":"/task/hyperspectral-image-classification","note":null},"dataset":{"name":"Salinas","url":"/dataset/salinas"},"category":"Computer Vision","categories":["Adversarial","Computer Vision"],"category_note":null,"description":"**Hyperspectral Image Classification** is a task in the field of remote sensing and computer vision. It involves the classification of pixels in hyperspectral images into different classes based on their spectral signature. Hyperspectral images contain information about the reflectance of objects in hundreds of narrow, contiguous wavelength bands, making them useful for a wide range of applications, including mineral mapping, vegetation analysis, and urban land-use mapping. 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