Superpixel-Based Graph Laplacian Regularization for Sparse Hyperspectral Unmixing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3027055
Abstract: An efficient spatial regularization method using superpixel segmentation and graph Laplacian regularization is proposed for the sparse hyperspectral unmixing method. Since it is likely to find spectrally similar pixels in a homogeneous region, we use… read more here.
Keywords: laplacian regularization; graph; sparse hyperspectral; graph laplacian ... See more keywords
Four-directional spatial regularization for sparse hyperspectral unmixing
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.14.046511
Abstract: Abstract. A four-directional total variation technique is proposed to encapsulate the spatial contextual information for sparse hyperspectral image (HSI) unmixing. Traditional sparse total variation techniques explore gradient information along with the horizontal and vertical directions.… read more here.
Keywords: regularization; total variation; four directional; sparse hyperspectral ... See more keywords