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## RECENT DEVELOPMENTS IN SPARSE HYPERSPECTRAL UNMIXING

Citations: | 2 - 0 self |

### Citations

220 |
Spectral unmixing
- Keshava, Mustard
- 2002
(Show Context)
Citation Context ...odel assumes that the endmembers form an intimate mixture inside the respective pixel, so that incident radiation interacts with more than one component and is affected by multiple scattering effects =-=[5]-=-. Nonlinear unmixing generally requires prior knowledge about object geometry and physical properties of the observed objects. In this work we will focus exclusively on the linear mixture model due to... |

183 | A new TwIST: Two-step iterative shrinkage/thresholding algorithms for image restoratin
- Bioucas-Dias, Figueiredo
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Citation Context ...iable Splitting and Augmented Lagrangian - CSUnSAL, Sparse Unmixing algorithm via variable Splitting and Augmented Lagrangian - SUnSAL, and Two-Step Iterative Shrinking/Thresholding algorithm - TwIST =-=[6]-=-. CSUnSAL corresponds to the first formulation of the sparse unmixing problem, while TwIST and SUnSAL correspond to the second one. The two formulations are further explained below. CSUnSAL and SUnSAL... |

175 |
Hyperspectral Imaging: Techniques for Spectral detection and classification
- Chang
- 2003
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Citation Context ... libraries. 1. INTRODUCTION The wealth of spectral information available from advanced hyperspectral imaging instruments currently in operation has opened new perspectives in many application domains =-=[1]-=-. Exploring the information contained in hyperspectral data sets is a challenging problem, not only from the viewpoint of inferring information at sub-pixel levels, but also because of the need to dev... |

172 |
Spectral Mixture Modeling: A New Analysis of Rock and Soil Types at the Viking Lander 1
- Adams, Smith, et al.
- 1986
(Show Context)
Citation Context ...tial resolution of the sensor is not high enough to separate different materials, these can jointly occupy a single pixel. As a result, most of the pixels of a hyperspectral image are mixed in nature =-=[3]-=-. To deal with the mixture problem, linear spectral mixture analysis techniques first identify a collection of spectrally pure constituent spectra, called endmembers in the literature [4], and then ex... |

109 |
Imaging spectroscopy and the airborne visible/infrared imaging spectrometer (aviris),” Remote Sensing of Environment
- Green, Eastwood, et al.
- 1998
(Show Context)
Citation Context ...instance, the spectral signature of a pixel in a hyperspectral image is obtained from the reflectance values of that material for a specific range of wavelengths which can be in the order of hundreds =-=[2]-=-. If the spatial resolution of the sensor is not high enough to separate different materials, these can jointly occupy a single pixel. As a result, most of the pixels of a hyperspectral image are mixe... |

103 |
A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data
- Plaza, Martinez, et al.
- 2004
(Show Context)
Citation Context ...ed in nature [3]. To deal with the mixture problem, linear spectral mixture analysis techniques first identify a collection of spectrally pure constituent spectra, called endmembers in the literature =-=[4]-=-, and then express the measured spectrum of each mixed pixel as a linear combination of endmembers weighted by fractions or abundances that indicate the proportion of each endmember present in the pix... |

14 | A fast algorithm for the constrained formulation of compressive image reconstruction and other linear inverse problems,” Submitted, Available at http://arxiv.org/abs/0909.3947v1
- Afonso, Bioucas-Dias, et al.
- 2009
(Show Context)
Citation Context ... unmixing problem, while TwIST and SUnSAL correspond to the second one. The two formulations are further explained below. CSUnSAL and SUnSAL are, respectively, variants of the algorithms presented in =-=[7]-=- and [8, 9], tailored to hyperspectral data. In all cases, we rely on a linear mixing model, expressed for one pixel in compact notation as follows: r = Mx + n (1) Considering that the sensor acquires... |