Hyperspectral imaging, like other spectral imaging, collects and processes information from across the electromagnetic spectrum.The goal of hyperspectral imaging is to obtain the spectrum for each pixel in the image of a scene, with the purpose of finding objects, identifying materials, or detecting processes. Hyperspectral Images
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Hyperspectral imaging, like other spectral imaging, collects and processes information from across the electromagnetic spectrum.The goal of hyperspectral imaging is to obtain the spectrum for each pixel in the image of a scene, with the purpose of finding objects, identifying materials, or detecting processes. Hyperspectral Images
Hyperspectral and multispectral images have many real world applications. For example, hyperspectral imagery has been used to map invasive species and help in mineral exploration. There are hundreds more applications where multispectral and hyperspectral enable us to understand the world. For example, we use it in the fields of agriculture ... Hyperspectral Images
Hyperspectral images contain ton of information, surface information and its spectrum behavior should be understand deeply and how it related to the hyperspectral images. This type of image are finding their importance in different fields as before it was just used for remote sensing application. Here are few applications of hyperspectral images. Hyperspectral Images
Hyperspectral images obviously provide much more detailed information about the scene than a normal color camera, which only acquires three different spectral channels corresponding to the visual primary colors red, green and blue. Hence, hyperspectral imaging leads to a vastly improved ability to classify the objects in the scene based on ... Hyperspectral Images
Hyperspectral-Image-Denoising-Benchmark. A list of hyperspectral image denoising resources collected by Yongsen Zhao and Junjun Jiang.. Band-wise denoising methods [BM3D] Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering, TIP2007, K. Dabov et al. [WNNM] Weighted nuclear norm minimization with application to image denoising, CVPR2014, S. Gu et al. Hyperspectral Images