Automatic Denoising and Unmixing in Hyperspectral Image Processing
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Summary
The first part of this thesis is devoted to a novel automatic optimized vector bilateral filter denoising algorithm, while the remainder concerns nonnegative matrix factorization with deterministic annealing for unsupervised unmixing in remote sensing hyperspectral images.
- Type
- article
- Published
- 2014-01-01
- Cited by
- 5
- References
- 56
- Access
- Open access
- OpenAlex
- https://openalex.org/W403735924
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:55346630
Keywords
Hyperspectral imaging, Artificial intelligence, Computer vision, Image processing, Noise reduction
References
- Classification of remotely sensed images
- Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model
- Learning the parts of objects by non-negative matrix factorization
- A Nonlinear Stein-Based Estimator for Multichannel Image Denoising
- Bilateral kernel parameter optimization by risk minimization
- Optimized vector bilateral filter for multispectral image denoising
- Bilateral mesh denoising
- Relative gradient speeding up additive updates for nonnegative matrix factorization
- Multispectral data restoration by the wavelet Karhunen-Loève transform
- A General Exponential Framework for Dimensionality Reduction
- Denoising of multicomponent images using wavelet least-squares estimators
- Multispectral Image Denoising With Optimized Vector Bilateral Filter
- Anisotropic diffusion of multivalued images with applications to color filtering
- Sampling, radiometry, and image reconstruction for polar and geostationary meteorological remote sensing systems
- Adaptive Bilateral Filter for Sharpness Enhancement and Noise Removal
- Hyperspectral Unmixing via L_1/2 Sparsity-Constrained Nonnegative Matrix Factorization
- Hyperspectral digital imagery collection experiment (HYDICE)
- Spatio-spectral bilateral filters for hyperspectral imaging
- Estimation of the Mean of a Multivariate Normal Distribution
- An approach based on constrained nonnegative matrix factorization to unmix hyperspectral data
Cited by
- Hierarchical Sparse Bayesian Learning with Beta Process Priors for Hyperspectral Imagery Restoration
- Comparative analysis of mineral mapping for hyperspectral and multispectral imagery
- Improving the accuracy of combining pairs of thermal images based on the analysis of visual information
- A Heavy Metal Ion Water Quality Detection Model Based on Spectral Analysis: New Methods for Enhancing Detection Speed and Visible Spectral Denoising
- Solidarity Filter for Noise Reduction of 3D Edges in Depth Images
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