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The traditional fusion methods are based on the fact that the spectral ranges of the Panchromatic (PAN) and multispectral bands (MS) are almost overlapping. In this paper, we propose a new pan-sharpen...
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...
Remote sensing image fusion aims at integrating the information conveyed by data acquired with different spatial and spectral resolution from satellite and aerial platforms. Image fusion is a very imp...
While many remote sensing and GIS applications require both the spatial resolution and spectral resolution be high, image fusion, or in other words, image sharpening, is a useful technique. To date, n...
Panchromatic (PAN) satellite imagery has been used successfully in different applications such as topographic mapping and terrain modelling. Nevertheless, PAN imagery is still one of the less used dig...
Model-free image segmentation approaches for automatic building detection, usually fail to detect accurately building boundaries dueto shadows, occlusions and other low level misleading information. I...
Attitude of the Small satellite is prone to be affected by external disturbing factors due to its small inertia. As for Beijing-1 small satellite, jitter is induced and exhibited in the images taken w...
The new very high space resolution satellite images, such as QuickBird and IKONOS, open new possibilities in cartographic applications. This work has as its main aim the assessment of different sensor...
Satellite images offer an efficient and quick data source to obtain the most recent and the urgently needed topographic or thematic maps. Present technology provides the possibility of accelerating t...
SPOT 5, the latest in the series of French optical remote sensing satellite, was launched on May 4, 2002 by an Ariane 4 rocket. Its characteristics, in terms of image resolution and swath, and the pre...
The extraction of spatial data from satellite imagery requires that precise sensor models are used to orientate images. This is particularly important with images acquired by linear sensors, such as...
The land cover map is one of the most important spatial data in many geographical information systems applications. Most of the environmental analyses use land cover and land use maps (CAHILL et al., ...
Precise co-registration of panchromatic and multispectral images can be challenging due to the imperfect alignment of different sensors from the same platform or the involvement of different platforms...
Developing fully automatic systems is still an active research topic in 3D building model reconstruction. While a general solution to the building reconstruction problem relies on collecting and group...

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