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Fuzzy spatial objects have become more and more important in GIS applications. When spatial phenomena are generalized by the crisp form, a lot of quantitative information is lost. Land cover as a fuzz...
Nowadays 3D modeling is generally performed using image or range data. Range sensors are getting a quitecommon source of data for modeling purposes due to their speed and ability to capture millions o...
Nowadays 3D modeling is generally performed using image or range data. Range sensors are getting a quite common source of data for modeling purposes due to their speed and ability to capture millions ...
Fuzziness is an important aspect of the uncertainties of spatial data. In this paper, the mechanism and methods of spatial modeling for fuzzy geographical objects are focused and the following two iss...
In order to acquire 3D spatial data for objects using stereo image, stereo matching such as SSDA, area based matching and so on have been proposed. However, there are some issues for efficient 3D obje...
To overcome such problems, we argue that a process based on multiple image overlap is the appropriate solution. In the age of digital aerial cameras such multiple overlaps can be commanded without e...
To overcome such problems, we argue that a process based on multiple image overlap is the appropriate solution. In the age of digital aerial cameras such multiple overlaps can be commanded without e...

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