Results 21 to 30 of about 109,853 (338)
Research on dimension reduction method for hyperspectral remote sensing image based on global mixture coordination factor analysis [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Over the past thirty years, the hyperspectral remote sensing technology is attracted more and more attentions by the researchers. The dimension reduction technology for hyperspectral remote sensing image data is one of the hotspots in current research ...
S. Wang, C. Wang
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A new kernel method for hyperspectral image feature extraction [PDF]
, 2017 Hyperspectral image provides abundant spectral information for remote discrimination of subtle differences in ground covers. However, the increasing spectral dimensions, as well as the information redundancy, make the analysis and interpretation of ...
Gao, Lianru +3 more
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Spectral Feature Selection from the Hyperspectral Dataset to Identify Pistachio Leaves Infected by Psylla [PDF]
Journal of Agricultural Machinery, 2022 IntroductionPistachio production has been adversely affected by Psylla, which is a devastating insect. The primary goal of this study was to select sensitive spectral bands to distinguish pistachio leaves infected by Psylla from healthy leaves. Diagnosis
A Moghimi, A Sazgarnia, M. H Aghkhani
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A low-cost hyperspectral scanner for natural imaging and the study of animal colour vision above and under water [PDF]
, 2019 Hyperspectral imaging is a widely used technology for industrial and scientific purposes, but the high cost and large size of commercial setups have made them impractical for most basic research.
Baden, T, Nevala, N E
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Hyperspectral Data Analysis and Visualization [PDF]
, 2011 Electro-Optical (EO) imaging sensors are widely used for a range of tasks, e.g. for TargetAcquisition (TA: detection, recognition and identification of (military) relevant objects) or visual search. These tasks can be performed by a human observer, by an algorithm (Automatic Target Recognition) or by both (Aided Target Recognition). In the past decades,
Hogervorst, M.A., Schwering, P.B.W.
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Informational Clustering of Hyperspectral Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014 Hyperspectral remote sensing is recognized as a powerful tool for mineralogical mapping of exposed surfaces on Earth and planets, as well. It allows for more rigorous discrimination among materials than multispectral imaging. Nevertheless, the huge data volume that comes with single observations results in severe limitations to successful data ...
POMPILIO, Loredana +3 more
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HYPERSPECTRAL DATA CLASSIFICATION USING FACTOR GRAPHS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Abstract. Accurate classification of hyperspectral data is still a competitive task and new classification methods are developed to achieve desired tasks of hyperspectral data use. The objective of this paper is to develop a new method for hyperspectral data classification ensuring the classification model properties like transferability ...
Makarau, Aliaksei +3 more
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Remote Sensing, 2020 Methane (CH4) is one of important greenhouse gases that affects the global radiative balance after carbon dioxide (CO2). Previous studies have demonstrated the detection of known sources of CH4 emission using the hyperspectral technology based on in situ
Chunlei Xiao +4 more
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Spectral Similarity Measures for In Vivo Human Tissue Discrimination Based on Hyperspectral Imaging
Diagnostics, 2023 Problem: Similarity measures are widely used as an approved method for spectral discrimination or identification with their applications in different areas of scientific research.
Priya Pathak +10 more
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Implementation strategies for hyperspectral unmixing using Bayesian source separation [PDF]
, 2010 Bayesian Positive Source Separation (BPSS) is a useful unsupervised approach for hyperspectral data unmixing, where numerical non-negativity of spectra and abundances has to be ensured, such in remote sensing.
Dobigeon, Nicolas +5 more
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