Centralized Collaborative Sparse Unmixing for Hyperspectral Images
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2017.2651063
Abstract: Spectral unmixing is very important in hyperspectral image analysis and processing, which aims at identifying the constituent spectra (i.e., endmembers) and estimating their fractional abundances from the mixed pixels. In recent years, sparse unmixing has… read more here.
Keywords: abundance estimation; sparse unmixing; collaborative sparse; hyperspectral images ... See more keywords
Superpixel-Based Weighted Collaborative Sparse Regression and Reweighted Low-Rank Representation for Hyperspectral Image Unmixing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3133428
Abstract: Sparse unmixing with a semisupervised fashion has been applied to hyperspectral remote sensing imagery. However, the imprecise spatial contextual information, the lack of global feature and the high mutual coherences of a spectral library greatly… read more here.
Keywords: sparse regression; collaborative sparse; weighted collaborative; sparse ... See more keywords
The petrophysical parameters estimation using rock-physics model and collaborative sparse representation
Sign Up to like & getrecommendations! Published in 2024 at "GEOPHYSICS"
DOI: 10.1190/geo2024-0006.1
Abstract: The estimation of petrophysical parameters is key in the identification of underground reservoirs. Current petrophysical parameter estimation methods are typically constrained by the choice of particular rock-physics models, necessitating the use of distinct models for… read more here.
Keywords: physics model; collaborative sparse; rock physics; petrophysical parameters ... See more keywords