Results 191 to 200 of about 8,883 (219)
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Airborne Hyperspectral Remote Sensing

1999
Abstract : Visible radiation is the only electromagnetic tool that directly probes the water column, and so is key to Naval systems for bathymetry, mine hunting, submarine detection, and submerged hazard detection. Hyperspectral imaging systems show great promise for meeting Naval imaging requirements in the littoral ocean.
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Hyperspectral Remote Sensing of Vegetation

2016
Introduction and Overview Advances in Hyperspectral Remote Sensing of Vegetation and Agricultural Croplands, Prasad S. Thenkabail, John G. Lyon, and Alfredo Huete Hyperspectral Sensor Systems Hyperspectral Sensor Characteristics: Airborne, Spaceborne, Hand-Held, and Truck-Mounted Integration of Hyperspectral Data with LIDAR Fred Ortenberg Hyperspectral
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Compressive pushbroom and whiskbroom sensing for hyperspectral remote-sensing imaging

2014 IEEE International Conference on Image Processing (ICIP), 2014
Most existing architectures for the compressive acquisition of hyperspectral imagery — which perform dimensionality reduction simultaneously with image acquisition — have focused on framing designs which require the entire spatial extent of the image be available at once to the sensor.
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Analysis of Hyperspectral Remote Sensing Images

2009
Hyperspectral remote sensing, or known as imaging spectroscopy, is a recently developed technique since the last two decades of the 20th century (Chang 2003). Imaging spectroscopy is a relatively fully-fledged experimental tool that has been successfully used in the laboratory by physicists and chemists for over 100 years for identification of ...
Liangpei Zhang, Yanfei Zhong
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Hyperspectral remote sensing

2005
Zhongping Lee, Kendall L. Carder
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Quantum Deep Hyperspectral Satellite Remote Sensing

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
Chia-Hsiang Lin, You-Yao Chen
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Hyperspectral Remote Sensing

2007
Marcus Borengasser   +2 more
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Hyperspectral remote sensing

2013
Ben Dor, Eyal   +3 more
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Target Detection in Hyperspectral Remote Sensing Image: Current Status and Challenges

Remote Sensing, 2023
Bowen Chen, Liqin Liu, Zhengxia Zou
exaly  

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