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In this paper, a 4D scale space representation is introduced aiming at denoising, smoothing and simplifying effectively airborne and spaceborne hyperspectral imagery. Our approach is based on a novel ...
Disaster management has got an important facet, viz., disaster mitigation, which in turn depends upon early damage assessment. Remote Sensing is considered as an ideal technique for obtaining early in...
In this paper a new object-based framework is developed for automate scale selection in image segmentation. The quality of image objects have an important impact on further analyses. Due to the strong...
High-resolution remote sensing images accelerate the development of information extraction and 3D city reconstruction. This paper concentrates on object-oriented methods to solve building extraction p...
Multiple representation of spatial data, which means obtaining different detailed representation of geographic phenomena based on the same spatial database or different data versions, is one of the ke...
Automatic scene interpretation of aerial images is a major purpose of photogrammetry. Therefore, we want to improve building detection by exploring the "life-time" of stable and relevant image feature...
Automatic scene interpretation of aerial images is a major purpose of photogrammetry. Therefore, we want to improve building detection by exploring the "life-time" of stable and relevant image feature...
MODELING MULTI-SCALE LANDSCAPE STRUCTURE WITHIN A HIERARCHICAL SCALE-SPACE FRAMEWORK.
Landscapes are Complex Systems, which by their very nature necessitate a multiscale approach in their monitoring, modeling and management. To assess such broad extents, remote sensing technology is th...
In this paper an object-based classification framework is introduced for the automated monitoring of changes in urban areas. Morphological scale space filtering is embedded in the pro...

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