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Remote Sensing | Free Full-Text | Multiscale Pixel-Level and Superpixel-Level Method for Hyperspectral Image Classification: Adaptive Attention and Parallel Multi-Hop Graph Convolution
1. Introduction In recent years, research has uncovered extensive applications for hyperspectral images (HSIs) in diverse fields, such as land management [1,2,3], resource exploration [4,5,6], urban rescues [7,8], military investigations [9,] and agricultural production [,]. This is mainly attributed to the abundance of spatial and spectral information available in HSIs [,]. Due to its applicability, HSI classification has attracted considerable attention.
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