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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...
The data generation of highly detailed digital terrain models including an integrated 3D watercourse network is a requirement of the extensive approval and monitoring process within the environmental ...
The task of object recognition involves classifying extracted objects, given a collection of extracted objects, each belonging to a predefined class. Inherently, object recognition from imagery is an ...
This paper describes a likelihood-based segmentation and classification method for remotely sensed images. It is based on optimization of a utility function, described as a function of likelihood of a...
This paper introduces a new approach to edge-preserving smoothing of digital images. It is designed for an effective elimination of the image noise within digital images what is an essential step in a...
One important step in the reconstruction of buildings from laser altimeter data is the segmentation step. In this contribution four procedures known from literature are investigated and compared. One ...

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