Results 21 to 30 of about 1,111,541 (211)

Quadratic Clustering-Based Simplex Volume Maximization for Hyperspectral Endmember Extraction

Applied Sciences, 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, Tianru Xue
doaj   +2 more sources

Endmember Bundle Extraction based on Multi-objective Optimization [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2021
A number of endmember extraction methods have been developed to identify pure pixels in hyperspectral images (HSIs). The majority of them use only one spectrum to represent one kind of material, which ignores the spectral variability problem that ...
Liu, Rong, Zhu, Xiao Xiang, Xiaoxiang Zhu, Rong Liu   +3 more
core   +6 more sources

Multi-GPU Based Parallel Design of the Ant Colony Optimization Algorithm for Endmember Extraction from Hyperspectral Images [PDF]

Sensors, 2019
Spectral unmixing is a vital procedure in hyperspectral remote sensing image exploitation. The linear mixture model has been widely utilized to unmix hyperspectral images by extracting a set of pure spectral signatures, called endmembers in hyperspectral
Jianwei Gao, Yi Sun, Bing Zhang, Zhengchao Chen, Lianru Gao, Wenjuan Zhang   +5 more
doaj   +2 more sources

Real-time endmember extraction on multicore processors

IEEE Geoscience and Remote Sensing Letters, 2011
In this letter, we discuss the use of multicore processors in the acceleration of endmember extraction algorithms for hyperspectral image unmixing. Specifically, we develop computationally efficient versions of two popular fully automatic endmember ...
Paz, Abel, Enrique S. Quintana-Orti, Alfredo Remon, Sergio Sanchez, Antonio Plaza, Sánchez, Sergio, Remón Gómez, Alfredo, Abel Paz, Plaza, Antonio, Quintana-Orti, Enrique S.   +9 more
core   +3 more sources

An Endmember Extraction Method Based on Artificial Bee Colony Algorithms for Hyperspectral Remote Sensing Images

Remote Sensing, 2015
Mixed pixels are common in hyperspectral remote sensing images. Endmember extraction is a key step in spectral unmixing. The linear spectral mixture model (LSMM) constitutes a geometric approach that is commonly used for this purpose.
Xu Sun, Lina Yang, Bing Zhang, Lianru Gao, Jianwei Gao   +4 more
doaj   +2 more sources

ENDMEMBER EXTRACTION OF HIGHLY MIXED DATA USING L₁ SPARSITY-CONSTRAINED MULTILAYER NONNEGATIVE MATRIX FACTORIZATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Due to the limited spatial resolution of remote hyperspectral sensors, pixels are usually highly mixed in the hyperspectral images. Endmember extraction refers to the process identifying the pure endmember signatures from the mixture, which is an ...
H. Fang, A. H. Li, H. X. Xu, T. Wang, K. Jiang, Y. Z. Su, H. W. Chang   +6 more
doaj   +2 more sources

Endmember extraction and abundance estimation algorithm based on double-compressed sampling [PDF]

Scientific Reports
Based on double-compressed sampling, a hyperspectral spectral unmixing algorithm (SU_DCS) is proposed, which could directly complete the endmember extraction and abundance estimation.
Li Wang, Yang Bi, Wei Wang, Junfang Li
doaj   +2 more sources

A New Endmember Preprocessing Method for the Hyperspectral Unmixing of Imagery Containing Marine Oil Spills

ISPRS International Journal of Geo-Information, 2017
The current methods that use hyperspectral remote sensing imagery to extract and monitor marine oil spills are quite popular. However, the automatic extraction of endmembers from hyperspectral imagery remains a challenge. This paper proposes a data field-
Can Cui, Ying Li, Bingxin Liu, Guannan Li   +3 more
doaj   +2 more sources

A Novel Hyperspectral Endmember Extraction Algorithm Based on Online Robust Dictionary Learning

Remote Sensing, 2019
Due to the sparsity of hyperspectral images, the dictionary learning framework has been applied in hyperspectral endmember extraction. However, current endmember extraction methods based on dictionary learning are not robust enough in noisy environments.
Xiaorui Song, Lingda Wu
doaj   +2 more sources

Adaptive Background Endmember Extraction for Hyperspectral Subpixel Object Detection

Remote Sensing
Subpixel object detection presents a significant challenge within the domain of hyperspectral image (HSI) processing, primarily due to the inherently limited spatial resolution of imaging spectrometers.
Lifeng Yang, Xiaorui Song, Bin Bai, Zhuo Chen   +3 more
doaj   +2 more sources