A Hybrid Iterative Thresholding Method for Solving Sparsity-Regularized Linear Inverse Problems and Its Application in Seismic Sparse-Spike Deconvolution
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3278026
Abstract: Sparsity-regularized linear inverse problem has served as the base in many disciplines, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, medical imaging, and so forth. The iterative hard thresholding algorithm… read more here.
Keywords: linear inverse; sparsity regularized; regularized linear; method ... See more keywords
Deep Spectral Clustering With Regularized Linear Embedding for Hyperspectral Image Clustering
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3267070
Abstract: The past decade has witnessed the rapid development of deep learning techniques, especially for large-scale and complex datasets. However, it is still a noteworthy problem in dealing with unsupervised hyperspectral image (HSI) segmentation since inefficiency… read more here.
Keywords: linear embedding; deep spectral; regularized linear; spectral clustering ... See more keywords