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Subspace-based Preprocessing Module for Fast Hyperspectral Endmember Selection

Xiangfei Shen, Wenxing Bao, Kewen Qu
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
To solve these problems, this article proposes a fast subspace-based preprocessing module, called fast subspace-based preprocessing module (FSPM), to select a high-quality data subset for subsequent endmember  ...  Index Terms-Convex hull, endmember extraction, fast preprocessing, hyperspectral image (HSI), outlier detection.  ...  ACKNOWLEDGMENT The authors would like to thank the Image and Intelligence Information Processing Innovation Team of the State Ethnic Affairs Commission of China for their support, and also thank the Associate  ... 
doi:10.1109/jstars.2021.3065534 fatcat:pqequk24affzvg4ybugfderzty

A New Preprocessing Technique for Fast Hyperspectral Endmember Extraction

S. Lopez, J. F. Moure, A. Plaza, G. M. Callico, J. F. Lopez, R. Sarmiento
2013 IEEE Geoscience and Remote Sensing Letters  
Index Terms-Endmember extraction, hyperspectral imaging, linear spectral unmixing, NFINDR, orthogonal subspace projection (OSP), region-based spatial preprocessing (RBSPP), SPP, spatial-spectral PP (SSPP  ...  The main contribution of this letter is the introduction of a novel preprocessing (PP) module, called SE 2 PP, which is based on the integration of spatial and spectral information.  ...  A New Preprocessing Technique for Fast Hyperspectral Endmember Extraction Sebastian Lopez, Member, IEEE, Javier F. Moure, Antonio Plaza, Senior Member, IEEE, Gustavo M. Callico, Member, IEEE, Jose F.  ... 
doi:10.1109/lgrs.2012.2229689 fatcat:lflpiwulqzht3pjxs3eyj4ox6q

Superpixel-guided preprocessing algorithm for accelerating hyperspectral endmember extraction based on spatial–spectral analysis

Xiangfei Shen, Wenxing Bao, Kewen Qu, Hongbo Liang
2021 Journal of Applied Remote Sensing  
Preprocessing is a major area of interest in the field of hyperspectral endmember extraction, for it can provide a few high-quality candidates for fast endmember extraction without sacrificing endmember  ...  We propose a superpixel-guided preprocessing (SGPP) algorithm to accelerate endmember extraction based on spatial compactness and spectral purity analysis.  ...  We would like to thank the Image and Intelligence Information Processing Innovation Team of the National Ethnic Affairs Commission of China for their support.  ... 
doi:10.1117/1.jrs.15.026514 fatcat:bza6hdhidvczxf2ipgyid2tnxu

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

Can Cui, Ying Li, Bingxin Liu, Guannan Li
2017 ISPRS International Journal of Geo-Information  
However, the automatic extraction of endmembers from hyperspectral imagery remains a challenge. This paper proposes a data field-spectral preprocessing (DSPP) algorithm for endmember extraction.  ...  Finally, the preprocessing algorithm fuses the data field with the spectral calculation to generate a new subset of endmember candidates for the following endmember extraction.  ...  Acknowledgments: The authors would like to thank Gabriel Martín and Antonio Plaza for sharing the SPP, RBSPP, and SSPP preprocessing algorithms.  ... 
doi:10.3390/ijgi6090286 fatcat:67jxgqljfvhsbdpoblhmnhirrm

Hyperspectral Endmember Extraction Using Spatially Weighted Simplex Strategy

Xiangfei Shen, Wenxing Bao
2019 Remote Sensing  
jointing spectral information for preprocessing and/or endmember extraction in hyperspectral imagery (HSI).  ...  In this paper, we propose a spatially weighted simplex strategy, called SWSS, for hyperspectral endmember extraction that investigates a novel integration framework of the spatial information-embedded  ...  Acknowledgments: We would like to thank the Image and Intelligence Information Processing Innovation Team of National Ethnic Affairs Commission of China for their support.  ... 
doi:10.3390/rs11182147 fatcat:ykv3vqygozc7fgvmnncdocbnyq

Recent Developments in Endmember Extraction and Spectral Unmixing [chapter]

Antonio Plaza, Gabriel Martín, Javier Plaza, Maciel Zortea, Sergio Sánchez
2011 Optical Remote Sensing  
the performance of a spectral unmixing chain (made up of spatial-spectral endmember extraction followed by linear spectral unmixing) is accelerated by taking advantage of a low-cost commodity graphics  ...  Recent Developments in Endmember Extraction and Spectral Unmixing 237 1. A successful estimation of how many endmembers, p, are present in the input hyperspectral scene I, and 238 A. Plaza et al.  ...  extraction and spectral unmixing, and for all their support and encouragement during all the stages of the production process for this monograph.  ... 
doi:10.1007/978-3-642-14212-3_12 fatcat:rzds5463tvdctiak5uusvmurxa

Spatial-spectral Hyperspectral Endmember Extraction Using A Spatial Energy Prior Constrained Maximum Simplex Volume Approach

Xiangfei Shen, Wenxing Bao, Kewen Qu
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
This article proposes a spatial energy prior constrained maximum simplex volume (SENMAV) approach for spatial-spectral endmember extraction of hyperspectral images.  ...  Index Terms-Endmember extraction algorithm (EEA), hyperspectral imagery, maximum simplex volume, spatial energy prior, spatial spectral.  ...  ACKNOWLEDGMENT The authors would like to thank the Image and Intelligence Information Processing Innovation Team of the National Ethnic Affairs Commission of China for their support.  ... 
doi:10.1109/jstars.2020.2981402 fatcat:gg4zvjevvfewhgcn4g7g6z6kja

Wavelet-Based Feature Extraction for Improved Endmember Abundance Estimation in Linear Unmixing of Hyperspectral Signals

J. Li
2004 IEEE Transactions on Geoscience and Remote Sensing  
Li, "Wavelet-based feature extraction for improved endmember abundance estimation in linear unmixing of hyperspectral signals," IEEE Abstract-This paper shows that the use of appropriate features, such  ...  Theoretical analyses further reveal that the increase of endmember separability is a fundamental reason leading to this improvement.  ...  Younan for many helpful discussions. The author also acknowledges Remote Sensing Technology Center at Mississippi State University for supporting this project.  ... 
doi:10.1109/tgrs.2003.822750 fatcat:sa53ykobdrcbfkat5tmc5v33lu

The Promise of Reconfigurable Computing for Hyperspectral Imaging Onboard Systems: A Review and Trends

Sebastian Lopez, Tanya Vladimirova, Carlos Gonzalez, Javier Resano, Daniel Mozos, Antonio Plaza
2013 Proceedings of the IEEE  
Fast processing solutions for compression and/or interpretation of hyperspectral data onboard spacecraft imaging platforms are discussed in this paper with the purpose of giving a more efficient exploitation  ...  ABSTRACT | Hyperspectral imaging is an important technique in remote sensing which is characterized by high spectral resolutions.  ...  Acknowledgment The authors would like to thank the Guest Editors of this special issue for their very kind invitation to provide a contribution, as well as the three anonymous reviewers for their outstanding  ... 
doi:10.1109/jproc.2012.2231391 fatcat:aepzokz6wne2dbxtlx3ij5sqau

Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art

Pedram Ghamisi, Naoto Yokoya, Jun Li, Wenzhi Liao, Sicong Liu, Javier Plaza, Behnood Rasti, Antonio Plaza
2017 IEEE Geoscience and Remote Sensing Magazine  
Recent advances in airborne and spaceborne hyperspectral imaging technology have provided end users with rich spectral, spatial, and temporal information, which make a plethora of applications for the  ...  reduction, resolution enhancement, hyperspectral image denoising and restoration, change detection, and fast computing.  ...  and Data Fusion Technical Committee for organizing the 2013 Data Fusion Contest.  ... 
doi:10.1109/mgrs.2017.2762087 fatcat:6ezzye7yyvacbouduqv2f2c7gi

Quadratic Clustering-Based Simplex Volume Maximization for Hyperspectral Endmember Extraction

Xiangyue Zhang, Yueming Wang, Tianru Xue
2022 Applied Sciences  
This paper develops a quadratic clustering-based simplex volume maximization (CSVM) approach to effectively alleviate spectral variability and extract endmembers.  ...  algorithms directly find pixels in the hyperspectral image as endmembers.  ...  The fast subspace-based module (FSPM) detects convex hull vertices for component pairs obtained by singular value decomposition and proposes a local outlier score measurement to remove outliers [16] .  ... 
doi:10.3390/app12147132 fatcat:onrnn27qj5b6bctdrurn5wdndq

FPGA Implementation of the N-FINDR Algorithm for Remotely Sensed Hyperspectral Image Analysis

Carlos Gonzalez, Daniel Mozos, Javier Resano, Antonio Plaza
2012 IEEE Transactions on Geoscience and Remote Sensing  
One of the most popular and widely used techniques for analyzing hyperspectral data is linear spectral unmixing, which relies on the identification of pure spectral signatures via a so-called endmember  ...  In this paper, we present the first FPGA design for N-FINDR, a widely used endmember extraction algorithm in the literature.  ...  Last but not least, the authors gratefully thank the three anonymous reviewers for their careful assessment of our manuscript and for providing very interesting recommendations for improving its technical  ... 
doi:10.1109/tgrs.2011.2171693 fatcat:qxjjjqxiibah5pejtynlihgwgu

Fusing Multiple Multiband Images

Reza Arablouei
2018 Journal of Imaging  
A practical way around this is to fuse multiple multiband images of the same scene with complementary spatial and spectral resolutions.  ...  We propose an algorithm for fusing an arbitrary number of coregistered multiband, i.e., panchromatic, multispectral, or hyperspectral, images through estimating the endmember and their abundances in the  ...  Author Contributions: The author was responsible for all aspects of this work. Funding: This work received no external funding. Conflicts of Interest: The author declares no conflict of interest.  ... 
doi:10.3390/jimaging4100118 fatcat:ldwsdcidofdhfllrqeglbst6yi

An experimental evaluation of endmember generation algorithms

Antonio Plaza, Juan J. Sánchez-Testal, Javier Plaza, David Valencia, James O. Jensen, Jean-Marc Thériault
2005 Chemical and Biological Standoff Detection III  
system (ORASIS), which generates endmembers based on spectral criteria, and the automated morphological endmember extraction (AMEE), which generates endmembers based on spatial/spectral criteria.  ...  Finding spectral endmembers is a very important task in hyperspectral data exploitation. Over the last decade, several algorithms have been proposed to find spectral endmembers in hyperspectral data.  ...  David Gillis and Jeffrey Bowles for their results and input on NRL's ORASIS algorithm.  ... 
doi:10.1117/12.630778 fatcat:emdqolgfwfamda7kpqbj6a74pa

Fusing Multiple Multiband Images [article]

Reza Arablouei
2018 arXiv   pre-print
We use a vector total-variation penalty term together with nonnegativity and sum-to-one constraints on the endmember abundances to regularize the derived maximum-likelihood estimation problem.  ...  We calculate the Fisher information matrix for this estimator and examine the conditions for the uniqueness of the estimator.  ...  They mostly extract the endmembers or the spectral dictionary from the hyperspectral image.  ... 
arXiv:1712.04575v2 fatcat:v57f7hu5mzg67nye6p2gwjbuiu
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