Unifying Label Propagation and Graph Sparsification for Hyperspectral Image Classification
摘要
Hyperspectral image (HSI) is a branch of optical remote sensing data, which has advantages of high spectral resolution and detailed spatial structure (Zhang et al. in IEEE Trans. Cybern. 48:16–28, 2016). Among the applications in HSI processing, hyperspectral image classification (HSIC) is a fundamental yet challenging problem (Hong et al. in IEEE Trans. Geosci. Remote Sens. 58:3791–3808, 2020; Jiang et al. in IEEE Trans. Geosci. Remote Sens. 57:851–865, 2019), which aims to assign a specific label to each pixel in the image. HSIC has been widely applied to many scenarios, such as military target detection, vegetation monitoring, and disaster prevention and control.