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Digital orthophoto is an image where the relief displacements and the camera's tilt have been removed. So it is an efficient, inexpensive and accurate approach for purposes such as evaluation, analysi...
For object- oriented classification approaches, main step is the segmentation part of the imagery. In eCognition v.4.0.6 software, with the segmentation process, meaningful objects can be created fo...
Principal component analysis (PCA) is usually used for compressing information in multivariate data sets by computing orthogonal projections that maximize the amount of data variance. PCA is effective...
(Zitnick and Kanade, 2000) proposes a cooperative approach for disparity estimation from stereo imagery based on support and inhibition in three-dimensional (3D) disparity space. By several means we o...
The paper regards specific context of public spaces in “shadow” of tall buildings located in European cities. Majority of tall buildings in European cities were built in last 15 years. Tall building...
Bayesian object recognition is applied to the analysis of complex forest object configurations measured in high-density airborne laser scanning (LIDAR) data. With the emergence of high-resolution ac...

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