Graph Neural Network via Edge Convolution for Hyperspectral Image Classification
摘要
Hyperspectral images have been widely used in many remote sensing applications due to their rich spectral and spatial information, and up to now, a wide range of applications have been benefited from the development of this direction, including urban development, land monitoring, scene interpretation, and resource exploration 0. Among these applications, HSI classification is a common technique that facilitates the study of the chemical properties of scene materials remotely.