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Against the Spectrum distortion problem of the IHS method which exists in the Quick-Bird data fusion, the paper proposes visualpan band method and Linear weighted matching two methods to improve it, p...
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...
For the inherent speckles in SAR imagery, the processing of object extraction becomes more difficult. Using the traditional target extraction arithmetic for optical imagery, we can not get ideal resul...
Iconic image fusion is a technique that is used to combine the spatial structure of a high resolution panchromatic image with the spectral information of a lower resolution multispectral image to prod...
Space Remote Sensor (SRS) is a complicated system involving optics, mechanism, electric and thermal. Utilizing Modelling and Simulation (M&S) in the development of SRS can expedite the design process,...
ACTIVE-PASSIVE OPTICAL REMOTE SENSING FOR WEATHER AND CLIMATE RESEARCH     Lidar  Climate change  Sunphotometer  Aerosol       font style='font-size:12px;'> 2015/12/23
Studying optical properties of atmospheric aerosol is important because aerosol affects people around the world significantly.Aerosol can directly affect climate change by scattering and absorption of...
RADIOMETRIC CALIBRATION OF ALS INTENSITY     Laser Scanning  Radiometric Calibration  Laboratory Measurements       font style='font-size:12px;'> 2015/11/10
We have developed a new concept of empirical calibration scheme for airborne laser scanner (ALS) intensity by means of portablebrightness calibration targets, which can be laid out in the flight targe...
Canopy height distributions were created from small-footprint airborne laser scanner data for mature coniferous forest in two forest areas in Norway. In total, 82 and 70 georeferenced field sample plo...
Monthly median empirical models IRI-95 and NeUoG were compared with incoherent scatter EISCAT and Millstone Hill observations as well as with El Arenosillo Digisonde N e (h) bottomside profiles. A com...
Traditional spectral classification of remote sensing data applied on per pixel basis ignores the potentially useful spatial information between the values of proximate pixels. Although spatial inform...
The Environmental Mapping and Analysis Programme EnMAP is a hyperspectral satellite mission, supposed to be launched into space in the near future. EnMAP is designed to be revolutionary in terms of sp...
Synthetic aperture radar interferometry (InSAR) has been an established method for long term large area monitoring. Since the launch of meter-resolution spaceborne SAR sensors, the InSAR community has...
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...
In our study we classified grassland vegetation types of an alkali landscape (Eastern Hungary), using different image classification methods for hyperspectral data. Our aim was to test the applicabili...
AN ADAPTIVE PROGRAMMABLE HYPERSPECTRAL IMAGER     Hyperspectral Imaging  Snapshop Imaging       font style='font-size:12px;'> 2015/9/21
An adaptive, hyperspectral imager is presented. We propose a system with easily adaptable spectral resolution, adjustable acquisition time, and high spatial resolution which is independent of spectral...

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