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In fully polarized SAR (PolSAR) data the returned signal from a target contains all polarizations. More information about this target may be inferred with respect to single-polarization. Distinct pola...
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...
How to greatly benefit form a variety of remote sensing data has become a bottle-neck problem in application of remote sensing. As an image has high spectral resolution, but relatively lower spatial r...
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...
Atmospheric pollution was previously considered as a 'Brown Cloud’ phenomenon restricted to industrialized urban regions. Studies in field stations and satellite observations made since the last decad...
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...
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...
In this work, we jointly process high spectral and high geometric resolution images and exploit their synergies to (a) generate a fused image of high spectral and geometric resolution; and (b) improve...
SPOT 5 satellite was launched on May, 4th, 2002. It has some new distinguished characteristics, for example that its ephemeris and attitudes on orbit can be accurately measured, recorded and distribut...
Many applications of remote sensing – like, for example, urban monitoring – require high resolution data for a correct determination of object geometry. These spatial high resolution image data contai...

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