A Metareinforcement-Learning-Based Hyperspectral Image Classification With a Small Sample Set
Prince Yaw Owusu Amoako,
Guo Cao,
Di Yang
et al.
Abstract:The fine spectral information contained in hyperspectral images (HSI) is combined with rich spatial features to provide feature qualities that serve as distinguishing variables for efficient classification performance. The task's objective is to correctly identify and categorize several object categories in the HSI, such as the ground, flora, water, and buildings, based on their spectral characteristics beneficial for a variety of applications, including mapping minerals, analyzing vegetation, and mapping urba… Show more
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