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Li Lu's Projects

cstsunet icon cstsunet

A Cross Swin Transformer Based Siamese U-Shape Network for Change Detection in Remote Sensing Images

lsdm-mog icon lsdm-mog

Low-Rank and Sparse Decomposition with Mixture-of-Gaussian for Hyperspectral Anomaly Detection

msdesgat icon msdesgat

Multi-Scale Dense Graph Attention net- work (MSDesGAT) for hyperspectral classification

nnls-fcls-gpu icon nnls-fcls-gpu

GPU Implementation of Large-Scale Abundance Estimation with Constraint Linear Spectral Mixture Model for Hyperspectral Unmixing

prox_alg icon prox_alg

邻接操作算法库函数,大尺寸多维凸集连续优化算法

pta-had icon pta-had

a prior-based tensor approximation (PTA) is proposed for hyperspectral anomaly detection, in which HSI is decomposed into a background tensor and an anomaly tensor. In the background tensor, a low-rank prior is incorporated into spectral dimension by truncated nuclear norm regularization, and a piecewise- smooth prior on spatial dimension can be embedded by a linear total variation-norm regularization. For anomaly tensor, it is unfolded along spectral dimension coupled with spatial group sparse prior that can be represented by l 2,1 -norm regularization.

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