# Haut PDF A Bayesian model for joint unmixing, clustering and classification of hyperspectral data

### A Bayesian model for joint unmixing, clustering and classification of hyperspectral data

**for**orthogonal “principal components” (PCs) m r , I PCs = directions with maximal variance in the

**data**, I Generally used as

**a**dimension reduction ...

31

### A Bayesian model for joint unmixing and robust classification of hyperspectral image

**classification**

**and**spectral

**unmixing**are two methods to extract information from

**hyperspectral**...presents

**a**new hierarchical

**Bayesian**

**model**to perform ...

7

### A Bayesian model for joint unmixing and robust classification of hyperspectral image

**Bayesian**

**model**, Markov random Field, super- vised learning, image ...INTRODUCTION

**Hyperspectral**images are mainly interpreted via two widely used techniques, namely spectral

**unmixing**...

6

### A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability

**Bayesian**algorithm

**for**

**hyperspectral**image

**unmixing**accounting

**for**endmember ...by

**a**linear combina- tion

**of**random endmembers to take into account endmember ...

7

### Bayesian algorithm for unsupervised unmixing of hyperspectral images using a post-nonlinear model

**a**post-nonlinear mixture

**of**the endmembers contaminated by additive Gaussian ...constraints

**for**the abundances

**and**endmembers was included in the

**Bayesian**framework through ...

6

### Toward a Sparse Bayesian Markov Random Field Approach to Hyperspectral Unmixing and Classification

**Bayesian**

**hyperspectral**

**unmixing**algorithms can be significantly improved by incorporating the inherent local spatial correlations between pixel class labels via the use

**of**Markov ...

14

### Toward a Sparse Bayesian Markov Random Field Approach to Hyperspectral Unmixing and Classification

**Bayesian**

**hyperspectral**

**unmixing**algorithms can be significantly improved by incorporating the inherent local spatial correlations between pixel class labels via the use

**of**Markov ...

15

### A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability

**Bayesian**algorithm

**for**

**hyperspectral**image

**unmixing**accounting

**for**endmember ...by

**a**linear combina- tion

**of**random endmembers to take into account endmember ...

6

### Nonlinear unmixing of hyperspectral images using a generalized bilinear model

**for**spectral

**unmixing**. This paper studies

**a**generalized bilinear

**model**

**and**

**a**hierarchical

**Bayesian**algorithm

**for**unmix- ing

**hyperspectral**...

11

### Adaptive Markov random fields for joint unmixing and segmentation of hyperspectral image

**unmixing**is

**a**challenging problem in

**hyperspectral**imaging that consists

**of**decomposing an observed pixel into

**a**linear combination

**of**pure spectra (or end- members) ...

13

### Adaptive Markov random fields for joint unmixing and segmentation of hyperspectral image

**unmixing**is

**a**challenging problem in

**hyperspectral**imaging that consists

**of**decomposing an observed pixel into

**a**linear combination

**of**pure spectra (or end- members) ...

14

### Joint Bayesian Endmember Extraction and Linear Unmixing for Hyperspectral Imagery

**model**results in endmember spectra located on the vertices

**of**

**a**lower dimensional ...PPI

**and**N-FINDR es- timate this simplex by identifying the largest simplex contained in the ...[10]. ...

15

### Semi-supervised linear spectral unmixing using a hierarchical Bayesian model for hyperspectral imagery

**of**the posterior distributions

**for**the unknown parameters requires to use appropriate simulation methods such as Markov chain Monte Carlo (MCMC) methods ...issue

**and**can converge to local ...

12

### Joint Bayesian Hyperspectral Unmixing for change detection

**of**HSIs

**for**CD. The authors

**of**[4] have proposed

**a**Linear Mixture

**Model**

**for**endmember

**and**abundance estimation

**of**each image ...vectors

**and**...

6

### Joint Bayesian Hyperspectral Unmixing for change detection

**of**HSIs

**for**CD. The authors

**of**[4] have proposed

**a**Linear Mixture

**Model**

**for**endmember

**and**abundance estimation

**of**each image ...vectors

**and**...

5

### Spatial regularization for nonlinear unmixing of hyperspectral data with vector-valued kernel functions

**and**hence promotes ...design

**of**the kernel, the spatial regulariza- tion is relatively transparent from the optimization problem point

**of**view, which is then shown to reduce to

**a**...

7

### A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures

**for**Q = 6, the log-likelihood went to minus infinity

**and**the

**model**produced ...our

**clustering**method outperforms the competitors most

**of**the ...that,

**for**values

**of**...

30

### Hyperspectral unmixing with spectral variability using a perturbed linear mixing model

**a**mixed

**hyperspectral**

**data**set, linear un- mixing aims at estimating the reference spectral signatures composing the

**data**—referred to as endmembers—their abun- dance fractions ...

15

### Joint classification of multiresolution and multisensor data using a multiscale Markov mesh model

**of**Genoa, DITEN ...problem

**of**the

**classification**

**of**multireso- lution

**and**multisensor remotely sensed

**data**is addressed by proposing

**a**multiscale Markov mesh ...

5

### Joint Bayesian Hierarchical Inversion-Classification and Application in Proteomics

**a**de- terministic matrix D ∈ N P ×I translating the number

**of**copies

**of**peptide i = 1, ...LC

**and**are subjected to

**a**system gain ξ, characterising in particular the ionisation ...

5