1. Superpixel-Based and Spatially Regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering
- Author
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Cui, Kangning, Li, Ruoning, Polk, Sam L, Lin, Yinyi, Zhang, Hongsheng, Murphy, James M., Plemmons, Robert J., and Chan, Raymond H.
- Abstract
Hyperspectral images (HSIs) provide exceptional spatial and spectral resolution of a scene, crucial for various remote sensing applications. However, the high dimensionality, presence of noise and outliers, and the need for precise labels of HSIs present significant challenges to the analysis of HSIs, motivating the development of performant HSI clustering algorithms. This article introduces a novel unsupervised HSI clustering algorithm—superpixel-based and spatially regularized diffusion learning (
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- 2024
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