Results 181 to 190 of about 68,035 (215)

Coupled hyperspectral super-resolution and unmixing

2014 IEEE Geoscience and Remote Sensing Symposium, 2014
The acquired hyperspectral data are always in low resolution in both spatial and spectral domains, which will result in lots of mixed pixels and degrade the detection and recognition performance in civil and military applications. So many super resolution techniques are applied to overcome this limit.
Yongqiang Zhao 0001, Chen Yi, Jingxiang Yang, Jonathan Cheung-Wai Chan   +3 more
openaire   +2 more sources

Robust Sparse Unmixing for Hyperspectral Imagery

IEEE Transactions on Geoscience and Remote Sensing, 2018
A linear sparse unmixing method based on spectral library has been widely used to tackle the hyperspectral unmixing problem, under the assumption that the spectrum of each pixel in the hyperspectral scene can be expressed as a linear combination of pure endmembers in the spectral library.
Dan Wang 0005, Zhenwei Shi 0001, Xinrui Cui   +2 more
openaire   +1 more source

Joint hyperspectral unmixing for urban computing

GeoInformatica, 2019
Recently, many methods for hyperspectral unmixing have been proposed. These methods are often based on nonnegative matrix factorization (NMF), which naturally inherits the non-negative advantage and is in line with the common sense of physics. Although there are many ways to perform NMF-based hyperspectral unmixing, these methods can only unmix one ...
Jihai Yang, Mingmei Jia, Chang Xu 0002, Shijun Li 0001   +3 more
openaire   +2 more sources

Sparse filtering based hyperspectral unmixing

2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2016
This work proposes a hyperspectral unmixing technique based on sparse filtering approach. The proposed method exploits the sparsity of feature distribution rather than modeling the data distribution. The proposed sparse filtering based unmixing procedure is essentially parameter-free, and the only parameter is to find the number of endmembers to be ...
Hemant Kumar Aggarwal, Angshul Majumdar
openaire   +2 more sources

Hyperspectral pansharpening based on unmixing techniques

2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015
Pansharpening first aims at fusing a panchromatic image with a multispectral image to generate an image with the high spatial resolution of the former and the spectral resolution of the latter. In the last decade many pansharpening algorithms have been presented in the literature using multispectral data.
Laëtitia Loncan, Jocelyn Chanussot, Sophie Fabre, Xavier Briottet   +3 more
openaire   +2 more sources

An approach to fully unsupervised hyperspectral unmixing

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
In the last few years, unmixing of hyperspectral data has become of major importance. The high spectral resolution results in a loss of spatial resolution. Thus, spectra of edges and small objects are composed of mixtures of their neighboring materials.
Wolfgang Groß, Hendrik Schilling, Wolfgang Middelmann   +2 more
openaire   +2 more sources

Joint denoising and unmixing for hyperspectral image

2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2014
Hyperspectral image denoising and unmixing are two separate stages in traditional works. Unmixing algorithm is implemented after denoising. The performance of unmixing will be promoted if noise in hyperspectral image is removed well. But the result of unmixing can not be used to improve the result of denoising.
Yongqiang Zhao 0001, Jingxiang Yang, Chen Yi, Yong Liu   +3 more
openaire   +2 more sources

Parallel sparse unmixing of hyperspectral data

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013
In this paper, a new parallel method for sparse spectral unmixing of remotely sensed hyperspectral data on commodity graphics processing units (GPUs) is presented. A semi-supervised approach is adopted, which relies on the increasing availability of spectral libraries of materials measured on the ground instead of resorting to endmember extraction ...
José M. Rodriguez Alves, José M. P. Nascimento, José M. Bioucas-Dias, Antonio Plaza, Vítor Silva 0001   +4 more
openaire   +2 more sources

FPGA-based architecture for hyperspectral unmixing

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
This paper proposes an FPGA-based architecture for onboard hyperspectral unmixing. This method based on the Vertex Component Analysis (VCA) has several advantages, namely it is unsupervised, fully automatic, and it works without dimensionality reduction (DR) pre-processing step. The architecture has been designed for a low cost Xilinx Zynq board with a
Nascimento, Jose, Véstias, Mário, Martin, Gabriel   +2 more
openaire   +2 more sources

Variational methods for spectral unmixing of hyperspectral unmixing

2011
International ...
Eches, Olivier, Dobigeon, Nicolas, Tourneret, Jean-Yves, Snoussi, Hichem   +3 more
openaire   +2 more sources