Results 141 to 150 of about 763 (175)

Hybrid Detectors Based on Selective Endmembers

IEEE Transactions on Geoscience and Remote Sensing, 2010
Subpixel target detection is a challenge in hyperspectral image analysis. As the spatial resolution of hyperspectral imagery is usually limited, subpixel targets only occupy part of the pixel area. In such cases, the spatial characteristics of the targets are hard to acquire, and the only information we can use comes from spectral characteristics ...
Liangpei Zhang 0001, Bo Du 0001, Yanfei Zhong   +2 more
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Endmember representation of human geography layers

2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD), 2014
This paper presents an endmember estimation and representation approach for human geography data cubes. Human-related factors that can be mapped for a geographic region include factors relating to population, age, religion, education, medical access and others.
Andrew R. Buck, Alina Zare, James M. Keller, Mihail Popescu   +3 more
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Estimate the Number of Endmembers for Hyperspectral Imagery

2009 International Conference on Environmental Science and Information Application Technology, 2009
In practice, the determination of the number of endmembers for hyperspectral images of the areas without priori knowledge is highly difficult. This article brings forward an automatic method, which can estimate the number of endmembers for hyperspectral imagery without priori knowledge of the area, according to the theory of Orthogonal subspace ...
Wei Chen, Xu-chu Yu, He Wang
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The Mathematical Model of the Endmembers in Hyperspectral Data

2009 International Conference on Environmental Science and Information Application Technology, 2009
Hyperspectral images analysis play important role in optical spectrum analysis field. The unmixing of the endmembers is very important to hyperspectral images analysis. We propose relationship between endmembers and their mixed pixel in matrix equation. The mathematical model of the endmembers is derived on the basis of convex geometry.
Dongmei Bi, Lijun Zhao, Yanjun Gong
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Towards streaming hyperspectral endmember extraction

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
A prevalent methodology for extracting pure pixels from hyperspectral images has been the use of linear-mixture geometry, which dictates that pure components must reside at the corners of a simplex enclosing all the remaining points (the mixtures). Recently, adaptations to popular algorithms for estimating the largest simplex (e.g.
Dzevdet Burazerovic, Rob Heylen, Paul Scheunders   +2 more
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Improved sequential endmember extraction algorithms

2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2011
Most of sequential endmember extraction algorithms, such as iterative error analysis (IEA), vertex component analysis (VCA), and simplex growing algorithm (SGA), use sequential forward selection (SFS) searching strategy. The advantage is its low computational complexity. However, it is sensitive to the initial condition. To reduce the “nesting effect”,
Qian Du 0001, He Yang, Nicolas H. Younan
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Endmember detection using graph theory

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013
In this paper, we propose a new nonlinear approach which uses graphs for detecting endmembers in hyperspectral images. Endmembers are defined as the purest points of the image and lie on the boundary of the data cloud. The image is modeled by a graph and in order to reduce the effects of noise and artifacts existent in the image, the superpixel ...
Neda Rohani, Mario Parente, Arun M. Saranathan   +2 more
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Endmember detection using the Dirichlet process

2008 19th International Conference on Pattern Recognition, 2008
An endmember detection algorithm for hyperspectral imagery using the Dirichlet process to determine the number of endmembers in a hyperspectral image is described. This algorithm provides an estimate of endmember spectra, proportion maps, and the number of endmembers needed for a scene. Updates to the proportion vector for a pixel are sampled using the
Alina Zare, Paul D. Gader
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Endmember Extraction Methods: A Short Review

2008
The analysis of hyperspectral images on the basis of the spectral decomposition of their pixels through the so called spectral unmixing process, has applications in thematic map generation, target detection and unsupervised image segmentation. The critical step is the determination of the endmembers used as the references for the unmixing process.
Miguel Angel Veganzones, Manuel Graña
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Saliency-based endmember detection for hyperspectral imagery

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
This paper focuses on the endmember extraction (EE) technique for analyzing hyperspectral images. We first prove that the reconstruction errors (REs) and abundance anomalies (AAs) (abundances that fail to satisfy the abundance constraints) are effective in extracting undetected endmembers.
Xinyu Wang 0003, Yanfei Zhong, Yao Xu, Liangpei Zhang 0001, Yanyan Xu 0003   +4 more
openaire   +1 more source