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Multi-scale segmentation of remote sensing image is more systematic and more convenient for the object-oriented image analysis compared to single-scale segmentation. However, the existing pixel-based ...
Multiscale segmentation is a key prerequisite step for object-based classification methods. However, it is often not possible to determine a sole optimal scale for the image to be classified because i...
Due to the spread of economically priced laser scanning technology nowadays, especially in the field of topographic surveying and mapping, ever-growing amounts of data need to be handled. Depending on...
Landscapes can be modelled as sets of homogeneous objects (landscape elements) forming areas of characteristic patterns (landscape units).The common way to represent landscapes is by vector GIS data s...
Efforts to preserve biological diversity increasingly require work across spatial scales and disciplinary boundaries. Remote sensing represents an important tool capable not only of characterizing l...
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 forestry, treecanopy cover (CC) is an important biophysical indicator for characterizing terrestrial ecosystemsand modeling global biogeochemical cycles, e.g., woody biomass estimation, carbon ba...
The applications of informatics to architecture have become, for professionals, a great tool for managing analytical phases and project activities but also, for the general public, new ways of communi...
The radon transformation is a proven image analysis technique in medical image processing, although there are some applications with satellite images. Among these applications maybe the most interes...
Natural resources are sometimes exploited beyond a sustainable level, spoiling natural habitats, displacing local communities, affecting people’s livelihoods and even fuelling armed conflicts. The lac...

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