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Hyperspectral Remote Sensing for Terrestrial Applications [PDF]

, 2018
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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
europepmc   +1 more source

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Hyperspectral Remote Sensing

2021
Hyperspectral images provide a very detailed representation of the spectral reflectance of the target surface. Such data have been used in several applications such as land cover maps generation and agricultural monitoring and methodologies including classification and change detection where the dense sampling of the spectrum can be used to separate ...
Marinelli, Daniele, Bovolo, Francesca, Bruzzone, Lorenzo   +2 more
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Hyperspectral Photoacoustic Remote Sensing Microscopy

Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN), 2020
A remote-sensing hyperspectral photoacoustic microscope is presented which is capable of imaging at excitation wavelengths ranging from (210 nm to 610 nm) with centimeter-scale working distances, sub-micron resolution and operating in reflection mode.
Kevan Bell, Saad Abbasi, Nicholas Pellegrino, Parsin Haji Reza   +3 more
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Hyperspectral remote sensing in China

SPIE Proceedings, 2001
In recent years, hyperspectral remote sensing has stepped into a new stage in China. There are some advanced hyperspectral imagers and CCD cameras developed by Chinese institutes and companies. Pushbroom Hyperspectral Imager (PHI) and Operative Modular Imaging Spectrometer (OMIS) have presented the level of airborne hyperspectral imagers in China ...
Qingxi Tong, Lanfen Zheng, Yongqi Xue, Bing Zhang, Yongchao Zhao, Liangyun Liu   +5 more
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Special feature –hyperspectral remote sensing

Journal of Spatial Science, 2006
(2006). Special feature –hyperspectral remote sensing. Journal of Spatial Science: Vol. 51, No. 2, pp. 47-48.
Apan, A., Phinn, S. R.
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Hyperspectral Remote Sensing of Vegetation

Geography Compass, 2008
Abstract Hyperspectral analysis of vegetation involves obtaining spectral reflectance measurements in hundreds of bands in the electromagnetic spectrum. These measurements may be obtained using hand‐held spectroradiometers or hyperspectral remote sensing instruments placed onboard aircraft or satellites.
Im, Jungho, Jensen, J.R.
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