This paper proposes a novel coarsening-refining framework, named HSLRE, to effectively extract multi-level features from HSIs and further improve the classification performance. Besides, the pixel-level graph convolution is integrated with the superpixel-level graph convolution to fully mine the fine spectral information in HSIs.