Hybrid Noise Removal in Hyperspectral Imagery With a Spatial–Spectral Gradient Network
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2912909
Abstract: The existence of hybrid noise in hyperspectral images (HSIs) severely degrades the data quality, reduces the interpretation accuracy of HSIs, and restricts the subsequent HSI applications. In this paper, the spatial–spectral gradient network (SSGN) is… read more here.
Keywords: noise removal; spatial spectral; spectral gradient; network ... See more keywords
A Spectral Gradient Projection Method for Sparse Signal Reconstruction in Compressive Sensing
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Models and Methods in Applied Sciences"
DOI: 10.5539/mas.v14n5p86
Abstract: In this paper, a new spectral gradient direction is proposed to solve the l1 -regularized convex minimization problem. The spectral parameter of the proposed method is computed as a convex combination of two existing spectral… read more here.
Keywords: sparse signal; gradient projection; method; spectral gradient ... See more keywords