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
Fast Hyperspectral Image Denoising and Destriping Method Based on Graph Laplacian Regularization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3272906
Abstract: Hyperspectral images (HSIs) contain rich spatial and spectral information about the earth, and are widely used in the remote sensing field. However, an HSI is frequently corrupted by various types of noise, such as Gaussian… read more here.
Keywords: noise; laplacian regularization; graph laplacian; graph ... See more keywords
Combining non-negative matrix factorization with graph Laplacian regularization for predicting drug-miRNA associations based on multi-source information fusion
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Pharmacology"
DOI: 10.3389/fphar.2023.1132012
Abstract: Increasing evidences suggest that miRNAs play a key role in the occurrence and progression of many complex human diseases. Therefore, targeting dysregulated miRNAs with small molecule drugs in the clinical has become a new treatment.… read more here.
Keywords: matrix; laplacian regularization; graph laplacian; non negative ... See more keywords