Results 241 to 250 of about 35,844 (297)

Estimation and spatial distribution of soil organic carbon content in farmland using unmanned aerial vehicle hyperspectral remote sensing technology. [PDF]

Sci Rep
Song Q, Zhang W.
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A Comprehensive Hyperspectral Image Dataset for Forest Fire Detection and Classification. [PDF]

Sci Data
Mani A, Chen X, Gorbachev S, Yan J, Dixit A, Sun Y, Yan Z, Wu J, Deng J, Jiang X, Chen Y.   +10 more
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A multi-angle reflectance dataset of wheat and peach trees with unmanned aerial vehicle imagery. [PDF]

Data Brief
Guo Y, Mu X, Lyu X, Fan D, Lei C, Wu R, Xie D, Yan G.   +7 more
europepmc   +1 more source

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Restoration of hyperspectral imagery

SPIE Proceedings, 2006
In hyperspectral imaging, the quality of the collected spectral signatures can be degraded by blurring due to the channel weighting function of the imaging spectrometer. In this work, we are investigating reconstruction techniques to enhance salient features and remove degradation effects in measured spectra to assist in subsequent machine analysis.
Alejandra Umaña-Díaz, Miguel Vélez-Reyes   +1 more
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Compression of hyperspectral imagery

Data Compression Conference, 2003. Proceedings. DCC 2003, 2003
High dimensional source vectors, such as those that occur in hyperspectral imagery, are partitioned into a number of subvectors of different length and then each subvector is vector quantized (VQ) individually with an appropriate codebook. A locally adaptive partitioning algorithm is introduced that performs comparably in this application to a more ...
G. Motta, F. Rizzo, J.A. Storer
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Hyperspectral Imagery Classification via Stochastic HHSVMs

IEEE Transactions on Image Processing, 2019
Hyperspectral imagery (HSI) has shown promising results in real-world applications. However, the technological evolution of optical sensors poses two main challenges in HSI classification: 1) the spectral band is usually redundant and noisy and 2) HSI with millions of pixels has become increasingly common in real-world applications.
Weiwei Liu, Xiaobo Shen, Bo Du, Ivor W. Tsang, Wenjie Zhang, Xuemin Lin   +5 more
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Separability between pedestrians in hyperspectral imagery

Applied Optics, 2013
The popularity of hyperspectral imaging (HSI) in remote sensing continues to lead to it being adapted in novel ways to overcome challenging imaging problems. This paper reports on research efforts exploring the phenomenology of using HSI as an aid in detecting and tracking human pedestrians.
Jared, Herweg, John, Kerekes, Michael, Eismann   +2 more
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Spaceborne hyperspectral imagery sharpened with spaceborne multispectral imagery

SPIE Proceedings, 2004
This paper describes a research project evaluating the success of spatially sharpening spaceborne hyperspectral imagery with higher spatial resolution spaceborne multispectral imagery. In November 2001, NASA launched its first operational hyperspectral sensor, Hyperion, on the Earth Observing-1 spacecraft. Designed to study the utility of hyperspectral
James C. Vrabel, Barbara A. Eckstein, Caitlin P. Mullen, William O. Kunze   +3 more
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Prediction accuracy of color imagery from hyperspectral imagery

SPIE Proceedings, 2005
In this paper we present the utilization of high-spectral resolution imagery for improving low-spectral resolution imagery. In our analysis, we assume that an acquisition of high spectral resolution images provides more accurate spectral predictions of low spectral resolution images than a direct acquisition of low spectral resolution images.
Peter Bajcsy, Rob Kooper
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