Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification

Given the detrimental effect of spectral variations in a hyperspectral image (HSI), this article investigates to recover its discriminative representation to improve the classification performance. We propose a new method, namely local low-rank approximation with superpixel-guided locality preservin...

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Egile Nagusiak:	Shujun Yang, Yu Zhang, Yuheng Jia, Weijia Zhang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2022-01-01
Saila:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Gaiak:	Hyperspectral image classification low-rank superpixel segmentation superpixel-guided locality preserving graph
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/9861684/
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