Results 101 to 110 of about 1,111,541 (211)

Real-Time Simplex Growing Algorithms for Hyperspectral Endmember Extraction

, 2009
The simplex growing algorithm (SGA) was recently developed as an alternative to the N-finder algorithm (N-FINDR) and shown to be a promising endmember extraction technique.
Chang, Chein-I, Lo, Chien-Shun, Wu, Chao-Cheng, Chang, Mann-Li   +3 more
core   +1 more source

Hyperspectral Image Data Reduction for Endmember Extraction

CoRR
37 pages, code is available at https://github.com/tomohiko-mizutani ...
openaire   +3 more sources

A new volume formula for a simplex and its application to endmember extraction for hyperspectral image analysis

, 2010
Based on the geometric properties of a simplex, endmembers can be extracted automatically from a hyperspectral image. To avoid the shortcomings of the N-FINDR algorithm, which requires the dimensions of the data to be one less than the number of end ...
Geng, Xiurui, Zhao, Yongchao, Gong, Peng, Wang, Fuxiang   +3 more
core   +1 more source

Implementing Hottopixx Methods for Endmember Extraction in Hyperspectral Images [PDF]

Hyperspectral imaging technology has a wide range of applications, including forest management, mineral resource exploration, and Earth surface monitoring.
Mizutani, Tomohiko
core  

Multiple Algorithm Integration Based on Ant Colony Optimization for Endmember Extraction from Hyperspectral Imagery

, 2015
Spectral unmixing is an important technique in hyperspectral image exploitation. It comprises the extraction of a set of pure spectral signatures (called endmembers in hyperspectral jargon) and their corresponding fractional abundances in each pixel of ...
Li, Jun, Sun, Xu, Gao, Jianwei, Zhang, Bing, Gao, Lianru, Plaza, Antonio, Zhuang, Lina   +6 more
core   +1 more source

Simulation of Image Multi-Spectrum Using Field Measured Endmember Spectrum

, 2010
The characteristic of landscape spectrum is the basic of application of remote sensing and plays an important role in quantitative analysis of remote sensing However, in spectrum-based application of remote sensing because the difference of measuring ...
Ding Jian Li, Zhang, T, Xinjiang Univ, Coll Resource & Environm Sci, Urumqi 830046, Peoples R China, Zhang Ting, Wang Fei   +3 more
core  

Hyperspectral Endmember Extraction Techniques

, 2020
Karbhari V. Kale, Mahesh M. Solankar, Dhananjay B. Nalawade   +2 more
openaire   +2 more sources

Evolutionary Competition Multitasking Optimization with Online Resource Allocation for Endmemeber Extraction of Hyperspectral Images

Hyperspectral remote sensing images typically have mixed rather than pure pixels. Endmember extraction aims to find a group of endmembers to represent the original image.
Lei Li, Wenbo Zhu, Fei Xie, Yiming Shang, Hexu Wang, Qian Wang   +5 more
core   +1 more source

Crop type discrimination using Geo-Stat Endmember Extraction and machine learning algorithms. [PDF]

Adv Space Res
Singh P, Srivastava PK, Shah D, Pandey MK, Anand A, Prasad R, Dave R, Verrelst J, Bhattacharya BK, Raghubanshi AS.   +9 more
europepmc   +1 more source

An Abundance-Guided Mamba Network for Hyperspectral Unmixing. [PDF]

Entropy (Basel)
Tang Z, Wang X, Li B.
europepmc   +1 more source