Results 141 to 150 of about 16,508 (156)

An improved maximum simplex volume algorithm to unmixing hyperspectral data

Proceedings of SPIE, 2013
The maximum simplex volume algorithm (MSVA) is an automatic endmember extraction method based on geometrical properties of simplex in high-dimensional feature space. By utilizing the relation of volume between a simplex and its corresponding parallelohedron in the high-dimensional space, the algorithm extracts endmembers directly from the initial ...
Bormin Huang, Junping Zhang
exaly   +2 more sources

FPGA implementation of a maximum simplex volume algorithm for endmember extraction from remotely sensed hyperspectral images

Journal of Real-Time Image Processing, 2017
Spectral unmixing is a very important technique for remotely sensed hyperspectral unmixing. Since more hyperspectral applications now require real or near real-time processing capabilities, fast spectral unmixing using field-programmable gate arrays (FPGAs) has received considerable interest in recent years.
Lianru Gao, Antonio Plaza, Bing Zhang
exaly   +2 more sources

Does an endmember set really yield maximum simplex volume?

2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
One of commonly used criteria for finding an endmember set is to assume that for a given number of endmembers, p, a p-vertex simplex with its vertices specified by p endmembers always yields the maximum volume. Since there are also other criteria which have been widely used for endmember extraction, the issue of interest is "does an endmember set ...
Chao-Cheng Wu, Chein-I Chang
exaly   +2 more sources

Spatial Potential Energy Weighted Maximum Simplex Algorithm for Hyperspectral Endmember Extraction

Remote Sensing, 2022
Most traditional endmember extraction algorithms focus on spectral information, which limits the effectiveness of endmembers. This paper develops a spatial potential energy weighted maximum simplex algorithm (SPEW) for hyperspectral endmember extraction,
Meiping Song, Tingting Yang, Song Meiping   +2 more
exaly   +3 more sources

Quadratic Clustering-Based Simplex Volume Maximization for Hyperspectral Endmember Extraction

Applied Sciences (Switzerland), 2022
The existence of intra-class spectral variability caused by differential scene components and illumination conditions limits the improvement of endmember extraction accuracy, as most endmember extraction algorithms directly find pixels in the ...
Xiangyue Zhang, Yueming Wang, Wang Yueming   +2 more
exaly   +3 more sources

Design and Analysis of Maximum Simplex Volume-based Endmember Extraction Algorithms

2009
Endmember extraction is a fundamental task and has been found in many applications in hyperspectral data exploitation such as anomaly detection, spectral unmixing, classification, data compression, image analysis etc. Since an endmember is defined as a pure, idealized signature for a spectral class, it provides first hand information for image ...
openaire   +1 more source

Maximum simplex volume: an efficient unsupervised band selection method for hyperspectral image

IET Computer Vision, 2019
, Shuying Li
exaly  

A primal simplex algorithm that solves the maximum flow problem in at mostnm pivots and O(n 2 m) time

Mathematical Programming, 1990
Donald Goldfarb, Goldfarb Donald
exaly  

On strongly polynomial variants of the network simplex algorithm for the maximum flow problem

Operations Research Letters, 1991
Donald Goldfarb
exaly  

Robust Minimum Volume Simplex Analysis for Hyperspectral Unmixing

IEEE Transactions on Geoscience and Remote Sensing, 2017
Shaoquan Zhang
exaly