Results 241 to 250 of about 35,627 (298)

Assessing Changes in Grassland Species Distribution at the Landscape Scale Using Hyperspectral Remote Sensing. [PDF]

Sensors (Basel)
Ohiaeri O, Portillo-Quintero C, Laza H.
europepmc   +1 more source

HyperHazeOff: Hyperspectral Remote Sensing Image Dehazing Benchmark. [PDF]

J Imaging
Nikonorov A, Sidorchuk D, Odinets N, Volkov V, Sarycheva A, Dudenko E, Zhidkov M, Nikolaev D.   +7 more
europepmc   +1 more source

Acclimation lags in alpine grasslands reveal early warning signs of climate change

New Phytologist, Volume 249, Issue 3, Page 1089-1091, February 2026.
Karl Andraczek
wiley   +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
openaire   +1 more source

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
openaire   +1 more source

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
openaire   +2 more sources

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
openaire   +2 more sources

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
openaire   +1 more source