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Spectral unmixing of hyperspectral data often fails to select some minerals and rocks having flat spectra but no diagnostic absorption features as endmembers, even if they are actually important endme...
Estimation of forest aboveground biomass (AGB) is a critical challenge for understanding the global carbon cycle because it dominates the dynamics of the terrestrial carbon cycle. Light Detection and ...
Extended morphological profile (EMP) is a good technique for extracting spectral-spatial information from the images but large size of hyperspectral images is an important concern for creating EMPs. H...
Hyperspectral spectrometers can record electromagnetic energy with hundreds or thousands of spectral channels. With such high spectral resolution, the spectral information has better capability for ma...
This paper gives an overview of the new COmpact hyperSpectral Imaging (COSI) system recently developed at the Flemish Institute for Technological Research (VITO, Belgium) and suitable for remotely pil...
Satellite-based hyperspectral sensors provide spectroscopic information in relatively narrow contiguous spectral bands over a large area which can be useful in forestry applications. This study evalua...
The hyperspectral image enriches spectrum information, so compared with panchromatic image and multispectral image; it can classify the ground target better. The feature extraction of hyperspectral im...
FPAR (Fraction of Absorbed Photosynthetically Active Radiation) is a key parameter in the study on ecosystem function, crop growth monitoring, and so on, it is important to estimate FPAR accurately. B...
By reason of recent advances in airborne and ground-base hyperspectral imaging technology, many applications have been developed. One of the most important hyperspectral images applications involves a...
Previous studies conducted under controlled laboratory and controlled field conditions have demonstrated the ability of hyperspectral techniques to detect vegetation stress associated with elevated le...
Hyperspectral imaging spectrometers offer the unique chance of recording image data of a broad range of targets in the reflected solar energy spectrum. These instruments are designed upon certain requ...
Timely and accurate identification of tree species by spectral methods is crucial for forest and urban ecological management. It has been proved that traditional methods and data cannot meet such requ...
Recent developments in the utilisation of close range laser scanning (lidar) in geology have seen the increased use of virtual outcrop data. The remote mapping of rock properties within the virtual ou...
Effective and understanding exploration of hyperspectral remote sensing data necessitates the development of sophisticated schemes that represent images. Such schemes ideally preserve and recognize si...
The applicability of Visible, Near-Infrared and Short Wave Infrared (VNIR/SWIR) hyperspectral imagery for soil property mapping decreases when surfaces are partially covered by vegetation. The objecti...

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