Abstract : As a powerful tool for image processing ，bi-dimensional empirical mode decomposition ( BEMD) covers a wide range of applications． In this paper ，we explore a novel hyperspectral classification algorithm which integrates BEMD and s

高光谱图像的目标跟踪检测，利用仿生双目构建的双高光谱相机全扫面检测并跟踪目标-Hyperspectral image target tracking and detection, using bionic eyes to build two full scan hyperspectral camera face detection and tracking targets

Hyperspectral image classification with limited number of labeled pixels is a challenging task. In this paper, we propose a bilayer graph-based learning framework to address this problem. For graph-based classification, how to establish the n