Mar 14, 2016 · Abstract: Linear unmixing-based compressive sensing has been extensively exploited for hyperspectral image (HSI) compression in recent years ...
Abstract—Linear unmixing based compressive sensing has been extensively exploited for hyperspectral image (HSI) com- pression in recent years, ...
A locally similar sparsity-based hyperspectral unmixing compressive sensing (LSSHUCS) method is proposed to unmix the HSI with an established redundant ...
Linear unmixing-based compressive sensing has been extensively exploited for hyperspectral image (HSI) compression in recent years among which gradient ...
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在这项研究中，不是使用少量给定的端元，而是提出了一种局部相似的基于稀疏性的高光谱解混合压缩感知(LSSHUCS) 方法，以将HSI 与已建立的冗余端元库解混合。考虑到每个像素 ...
IEEE Transactions on Image Processing (TIP), 2016. Locally Similar Sparsity-Based Hyperspectral Compressive Sensing Using Unmixing. Lei Zhang, Wei Wei ...
Zhang proposed a locally similar sparsity-based hyperspectral unmixing compressive sensing (LSSHUCS) method to unmix the HSIs with an established redundant ...
Oct 10, 2024 · This paper introduces an innovative sparse unmixing approach for hyperspectral images named spectral weighted sparse unmixing based on adaptive total variation ...
Linear unmixing-based compressive sensing has been extensively exploited for hyperspectral image (HSI) compression in recent years among which gradient ...
Locally Similar Sparsity-Based Hyperspectral Compressive Sensing Using Unmixing · Computer Science, Engineering. IEEE Transactions on Computational Imaging · 2016.