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This paper proposes a novel kernel change detection algorithm (KCD). The input vectors from two images of different times are mapped into a potential much higher dimensional feature space via a nonlinear mapping, which will usually increase the linear margin of change and no-change regions. Then a simple linear distance measure between two high dimensional feature vectors is defined in features space,...
With the tendencies of "3-High" for RS images (high spatial resolution, high spectral resolution and high temporal resolution), more attentions are paid to the information processing technique for high-resolution image data. However, the performances of current high spatial resolution RS change detection methods and systems are not satisfying in both effect and efficiency. A new unified...
Geo-spatial data is increasingly becoming a key element for effective planning and decision-making in a variety of application domains. This has generated the need of sharing the spatial data repositories, collected/maintained by diverse organizations mostly for their own application domain. Enterprise geographic information system (E-GIS) is an organization-wide approach to GIS implementation, operation...
This paper describes the co-registration image using the Grid technologies. Image co-registration is basilar for interferometry SAR remote sensing applications, but because of its very time-consuming algorithm and because of the necessity of elaborate interferometry image in real time , it can be greatly benefited by Grid computing.
Remote sensing imagery has relatively low spatial resolution. Since different materials/objects may be present in the area covered by a pixel, the pixel reflectance can be considered as the linear mixture of reflectance of these materials/objects (i.e., endmembers). Thus in remote sensing image processing we deal with mixed pixels instead of pure pixels as in traditional digital image processing....
Ecological and hydrological cycles play a key role in global climate dynamics. Remote sensing data are important in climate studies as they provide a global coverage of important hydrological variables at a variety of spatial and temporal scales. In this paper we study the long term relationships between NDVI derived from AVHRR and microwave brightness temperature from SSM/I sensor for different climate...
All remote sensing of the Earth's surface in the solar wavelengths is impacted by the bidirectional reflectance distribution function (BRDF): all Earth surfaces scatter light anisotropically. The BRDF describes the angular distribution of scattered light and is thus what most remote sensing instruments sample. The BRDF is dependent on the structural as well as the optical characteristics of surfaces...
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