Hyperspectral Image Super-Resolution via Non-Negative Structured Sparse Representation
From MaRDI portal
Publication:4616431
DOI10.1109/TIP.2016.2542360zbMath1408.94139OpenAlexW2327302159WikidataQ47999678 ScholiaQ47999678MaRDI QIDQ4616431
GuangMing Shi, Xun Cao, Xin Li, Weisheng Dong, Jinjian Wu, Fazuo Fu, Guang-Yu Li
Publication date: 4 February 2019
Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/tip.2016.2542360
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Related Items (7)
Hyperspectral image fusion with a new hybrid regularization ⋮ Non-local blind hyperspectral image super-resolution via 4D sparse tensor factorization and low-rank ⋮ Adaptive spatial-spectral dictionary learning for hyperspectral image restoration ⋮ Contribution of enhanced DWT and non-negative structured sparse representation for image super resolution: A performance analysis ⋮ Robust detection of neural spikes using sparse coding based features ⋮ Key-frame detection and super-resolution of hyperspectral video via sparse-based cumulative tensor factorization ⋮ Information theory and recovery algorithms for data fusion in Earth observation
This page was built for publication: Hyperspectral Image Super-Resolution via Non-Negative Structured Sparse Representation
