Gabor phase feature-based hyperspectral imagery classification

Abstract

In this paper, a three-dimensional (3D) Gabor phase coding and Hamming distance matching approach, called 3DGPC-HDM, is proposed for hyperspectral imagery classification. Specifically, the Gabor phase features with certain orientations are utilized, which are then encoded by a simple quadrant bit coding scheme. Next, a normalized Hamming distance matching… (More)
DOI: 10.1109/ICME.2017.8019317

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