Results 181 to 190 of about 8,883 (219)

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 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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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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Advanced Hyperspectral Remote Sensing for Target Detection

2011 21st International Conference on Systems Engineering, 2011
Hyperspectral sensors provide 3-D images with high spatial and spectral resolution. Acquired data can be utilized in diverse applications such as detection and control of hazardous agents in atmosphere and water, military targets, and so on. Over the last decade, hyperspectral remote sensing algorithms for target detection have evolved from the ...
Ershad Sharifahmadian, Shahram Latifi
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Hyperspectral remote sensing of wild oyster reefs

Estuarine, Coastal and Shelf Science, 2016
The invasion of the wild oyster Crassostrea gigas along the western European Atlantic coast has generated changes in the structure and functioning of intertidal ecosystems. Considered as an invasive species and a trophic competitor of the cultivated conspecific oyster, it is now seen as a resource by oyster farmers following recurrent mass summer ...
Le Bris, Anthony, Rosa, Philippe, Lerouxel, Astrid, Cognie, Bruno, Gernez, Pierre, Launeau, Patrick, Robin, Marc, Barillé, Laurent   +7 more
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Hyperspectral remote sensing of conifer chemistry and moisture

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
The chemical and moisture composition of conifer foliage in the Greater Victoria Watershed District (GVWD), Vancouver Island, Canada, was explored using hyperspectral remote sensing data. Imagery acquired from the airborne sensor Advanced Visible/Infrared Imaging Spectrometer (AVIRIS) were evaluated along with sampled foliar chemical and moisture ...
Sarah McDonald, K. Olaf Niemann, David G. Goodenough, Andrew Dyk, Chris West, Tian Han 0003, Matthew Murdoch   +6 more
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Hyperspectral Remote Sensing

2017
Teknologi spektral pencitraan yang canggih dan teknik analisis hiperspektral untuk berbagai aplikasi adalah fitur utama buku ini. Buku ini akan menyajikan dalam satu volume solusi lengkap mulai dari konsep, fundamental, dan metode perolehan data hiperspektral hingga analisis dan aplikasi data dengan cara yang sangat koheren.
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Hyperspectral Remote Sensing Classifications: A Perspective Survey

Transactions in GIS, 2015
AbstractClassification of hyperspectral remote sensing data is more challenging than multispectral remote sensing data because of the enormous amount of information available in the many spectral bands. During the last few decades, significant efforts have been made to investigate the effectiveness of the traditional multispectral classification ...
Dibyajyoti Chutia, D. K. Bhattacharyya, Kandarpa Kumar Sarma, Ranjan Kalita, Singuluri Sudhakar   +4 more
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Hyperspectral Imaging Remote Sensing

2016
A practical and self-contained guide to the principles, techniques, models and tools of imaging spectroscopy. Bringing together material from essential physics and digital signal processing, it covers key topics such as sensor design and calibration, atmospheric inversion and model techniques, and processing and exploitation algorithms.
Dimitris G. Manolakis, Ronald B. Lockwood, Thomas W. Cooley   +2 more
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Model for the interpretation of hyperspectral remote-sensing reflectance

Applied Optics, 1994
Remote-sensing reflectance is easier to interpret for the open ocean than for coastal regions because the optical signals are highly coupled to the phytoplankton (e.g., chlorophyll) concentrations. For estuarine or coastal waters, variable terrigenous colored dissolved organic matter (CDOM), suspended sediments, and bottom reflectance, all factors that
Z, Lee, K L, Carder, S K, Hawes, R G, Steward, T G, Peacock, C O, Davis   +5 more
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