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Fast 3D CNN for Hyperspectral Classification by Nirmalendu Kumar is a document available to read on EtoBox.

What is Fast 3D CNN for Hyperspectral Classification about?

1) This document proposes a 3D CNN model for hyperspectral image classification that utilizes both spatial-spectral feature maps to achieve good performance. 2) It divides the hyperspectral image cube into small overlapping 3D patches, which are then processed to generate 3D feature maps using 3D kernel functions over multiple contiguous bands to preserve both spectral and spatial information. 3) The model is tested on several benchmark hyperspectral datasets and is shown to outperform several state-of-t

Author

Nirmalendu Kumar

Language

EN