A patent-pending innovation created and validated in Purdue University's College of Engineering could strengthen ...
Dimensionality Reduction (DR) is an indispensable step to enhance classifier accuracy with data redundancy in hyperspectral images (HSI). This paper proposes a framework for DR that combines band ...
When classifying hyperspectral images, 3D-CNN and 2D-CNN are limited in their application due to excessive consumption of computing resources and difficulty in effectively extracting image features.
RGB image from a smartphone (left); blood flow mapping (centre); overlaid images (right). Redder colours indicate higher blood perfusion. (Courtesy: Ruikang Wang) In a hyperspectral image, each pixel ...
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