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Hyperspectral Remote Sensing Classifications: A Perspective Survey
Transactions in GIS, 2015AbstractClassification 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 +4 more
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Model for the interpretation of hyperspectral remote-sensing reflectance
Applied Optics, 1994Remote-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 +5 more
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Airborne Hyperspectral Remote Sensing
1999Abstract : 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
2016Introduction 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), 2014Most 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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Quantum Deep Hyperspectral Satellite Remote Sensing
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023Chia-Hsiang Lin, You-Yao Chen
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Multispectral and hyperspectral image fusion in remote sensing: A survey
Information Fusion, 2023Gemine Vivone
exaly
Target Detection in Hyperspectral Remote Sensing Image: Current Status and Challenges
Remote Sensing, 2023Liqin Liu, Zhenwei Shi, Zhengxia Zou
exaly