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In this paper we present an automated method to derive highly detailed 3D vector models of modern building façades from terrestrial laser scanning data. The developed procedure can be divided i...
High density point clouds of urban scenes are used to identify object classes like buildings, vegetation, vehicles, ground, and water. Point cloud segmentation can support classification and further f...
Automatic water-body extraction from remote sense images is a challenging problem. Using GIS data to update and extract waterbody is an old but active topic. However, automatic registration and change...
The principle of multiresolution segmentation was represented in detail in this study, and the canny algorithm was applied for edge-detection of remotely sensed image based on this principle. The targ...
Vectorization of cartographic features is a difficult task in geographic information acquisition from topographic maps. This paper presents a semi-automatic approach to linear feature vectorization ...
This paper presents a multi-stage approach toward the robust classification of travel-modes from GPS traces. Due to the fact that GPS traces are often composed of more than one travel-mode, they are...
Lossy compression has been increasingly used because of the enormous amount of images gathered by airborne and satellite sensors. Nevertheless, the implications of these compression procedures have be...
In Flanders the large scale reference database called GRB, takes care of the layout, exchange and management of large scale geographic information with respect to, amongst others, roads, buildings and...
We present a method for hierarchical image segmentation and feature extraction. Thismethod builds upon the combination of the detection of image spectral discontinuities using Canny edge detection and...
A challenge in ecological studies is defining scales of observation that correspond to relevant ecological scales for organisms or processes. Image segmentation has been proposed ...
The relation between the segmentation parameters values and the segmentation result is far from being obvious. Therefore, in order to produce the desired outcome a complex and time consuming trial and...
In our contribution, we improve image segmentation by integrating depth information from multi-view analysis. We assume the object surface in each region can be represented by a low order polynomial,...
In this work the use of statistical techniques will be approached for segmentation of SAR images, with the purpose of ship detection, being used RADARSAT images of the Brazilian coast. As described ...
The problem considered in this article∗ is how to evaluate image segmentations objectively. An image segmentation is the partition of an image into its constituent parts. Until recently, the e...
Image segmentation is a crucial step within the object-based remote sensing information retrieval process. As a step prior to classification the quality assessment of the segmentation result is of f...

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