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The notion of a ‘Bestsegmentation does not exist. A segmentation algorithm is chosen based on the features it yields, the properties of the segments (point sets) it generates, and the complexity of ...
The report reviewed the algorithm fuzzy c-means, performs image segmentation, give an estimate of the quality of his work on the criterion of Xie-Beni, contain the results of experimental studies of ...
We present a new method for the segmentation of color images for extracting information from terrestrial, aerial or satellite images. It is a supervised method for solving a part of the automatic ext...
Very-High-Resolution (VHR) satellite imagery is a powerful source of data for detecting and extracting information about urban constructions. Shadow in the VHR satellite imageries provides vital infor...
The analysis of individual trees is an important field of research in the forest remote sensing community. While the current state-of-theart mostly focuses on the exploitation of optical imagery and a...
Numerous applications related to urban scene analysis demand automatic recognition of buildings and distinct sub-elements. For example, if LiDAR data is available, only 3D information could be leverag...
Using a set of colour-infrared aerial photos, we compare a newly developed neural net based clustering method with a method based on the classical ISODATA algorithm. The primary focus is on the detec...
We present a new evaluation methodology and a feature extraction scheme for segmentation algorithms in the context of photo-interpretation. The novelty of the proposed methodology is that subjective ...
The paper considers the problem of object segmentation and shape recognition in discrete noisy data. Two different algorithms combine region growing techniques with principal component analysis. The...
In this paper we present a new classification technique for segmenting remotely sensed images, based on cluster analysis and machine learning. Traditional segmentation techniques which use clusterin...
SEGMENTATION OF HIGH-RESOLUTION REMOTELY SENSED DATA - CONCEPTS, APPLICATIONS AND PROBLEMS.
SEGMENTATION OF TIN-STRUCTURED SURFACE MODELS.
In recent years, laser scanning systems have been recognized as a fast and accurate technology for the acquisition of high density spatial data. The advent of these systems has reduced the cost and in...
A hybrid unsupervised/supervised classification method is described and applied to Landsat TM images. This method differs from the conventional classification in the sense that the clustering algori...

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