airborne hyperspectral remote sensing
The importance of atmospheric correction for airborne hyperspectral remote sensing of shallow waters: application to depth estimation
... of hyperspectral images Data from airborne sensors have varying degrees of bright- ness, which depend on the angle, the viewing angle and alti- tude sensor, the azimuth between the sun and the plane and the ...
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Hyperspectral Remote Sensing of Coastal Environment
... the hyperspectral sensors is the de- tector ...commercial hyperspectral imagers were introduced like CASI (Compact Airborne Spectrographic Imager) and DAIS (Digital Airborne Imaging ...
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Thermal remote sensing from Airborne Hyperspectral Scanner data in the framework of the SPARC and SEN2FLEX projects: an overview
... SEN2FLEX is a campaign that combines different activi- ties in support of initiatives related both to fluorescence ex- periments to observe solar induced fluorescence signal over multiple surface targets, and to Global ...
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Remote sensing of plant species using airborne hyperspectral visible-shortwave infrared and thermal infrared imagery
... The Hyperspectral Thermal Emission Spectrometer (HyTES) is a recent sensor developed using new technologies from the National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory ...
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Mapping spatial variation of Foliar Nitrogen using hyperspectral remote sensing
... of airborne imaging spectrometer allowed the early quantification of nitrogen at canopy level using remote sensing (Peterson et ...the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS), ...
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Use of Hyperspectral Remote Sensing to Estimate Water Quality
... the Hyperspectral Imager for the Coastal Ocean (HICO), airborne vis- ible/infrared imaging spectrometer (AVIRIS), Compact Airborne Spectrographic Imager (CASI-2), and Hyperion ...and airborne ...
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Hyperspectral Remote Sensing For Agricultural Management: A Survey
... Shafter Airborne Multispectral Remote Sensing System, a yield map was produced from yield monitor data to identify those areas of low and high ...1) remote sensing techniques are ...
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Hyperspectral Remote Sensing of Vegetation and Agricultural Crops
... in hyperspectral remote sensing (or imaging spectroscopy) of vegetation and agricultural crops (Thenkabail et ...in hyperspectral remote sensing was overwhelmingly focused on ...
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Crop Growth Monitoring by Hyperspectral and Microwave Remote Sensing
... field-, airborne- or satellite based ...from remote sensing data or by assimilating remote sensing data into crop models (Schneider ...
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The Use of Hyperspectral Imaging for Remote Sensing, and the Development of a Novel Hyperspectral Imager
... for remote sensing applications, would require the assessment of several more performance ...an airborne platform, specically: the ability of the microslice to deal with vibrations from being mounted ...
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Classification of Grassland Successional Stages Using Airborne Hyperspectral Imagery
... previous remote sensing studies have revealed that differences in leaf nitrogen content have strong influence on the reflectance from vegetation across the electromagnetic spectrum (visible (400–700 nm) ...
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Kernel Principal Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas
... Airborne data from the hyperspectral digital imagery col- lection experiment (HYDICE) sensor was used for the third experiments. The HYDICE was used to collect data from flightline over the Washington DC ...
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Hyperspectral Remote Sensing for Terrestrial Applications
... (2) airborne, and (3) ...of hyperspectral analysis are presented and ...HVIs. Hyperspectral image classification for land cover and species types was per formed using such methods like SMA, SVMs, ...
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Feature extraction and classification for hyperspectral remote sensing images
... the remote sensing literature, many supervised and unsupervised classifiers have been developed to tackle the multi- and hyperspectral data classification prob- lem ...and hyperspectral image ...
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Hyperspectral imaging for the remote sensing of blood oxygenation and emotions
... The mirror scanner systems [21] consist of a motor and a mirror, which scans the scene through a step motor. The camera captures one frame of spectral information for every motor step position and it is then stored in ...
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Assessing ecosystem isoprene emissions by hyperspectral remote sensing
... Foliar hyperspectral reflectance was measured over the spectral region between 350 and 1600 nm (2-nm sampling interval) by coupling an ASD FieldSpec FR Pro spectroradiometer (ASD, Boulder, CO, USA) with a leaf ...
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Vector attribute profiles for hyperspectral image classification
... One of the initial attempts by Dell’Acqua et al. [26] oriented towards the extension of MP to hyperspectral images, consisted in simply reducing the input image into grayscale. Specifically, the hundreds of ...
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Mediterranean Forest Species Mapping Using Hyperspectral Imagery
... training samples; a common limitation for remote sensing applications. They are increasingly used over the past few years as they usually outperform other classifiers. GEOBIA includes processes that ...
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Topological & network theoretic approaches in hyperspectral remote sensing
... the hyperspectral data in the so called spectral ...modeling hyperspectral data the assumptions made are not only minimal, but faithful to collection process ...about hyperspectral data is simple: ...
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Nonlocal tensor sparse representation and low-rank regularization for hyperspectral image compressive sensing reconstruction
... Abstract: Hyperspectral image compressive sensing reconstruction (HSI-CSR) is an important issue in remote sensing, and has recently been investigated increasingly by the sparsity prior based ...
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