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In this paper a method for building detection in aerial images based on variational inference of logistic regression is proposed. It consists of three steps. In order to characterize the appearances o...
This paper presents a non-interactive building detection approach employing binary bag-of-features (BBOF), namely, extracting building roof contours in remote sensing images automatically, rapidly and...
The automated building detection in aerial images is a fundamental problem encountered in aerial and satellite images analysis. Recently, thanks to the advances in feature descriptions, Region-based C...
Automated approaches to building detection are of great importance in a number of different applications including map updating and monitoring of informal settlements. With the availability of multi-s...
With the unprecedented growth of urban population and urban development, we are faced with the growing trend of illegal building (IB) construction. Field visit, as the currently used method of IB dete...
This paper presents a new method for building detection and reconstruction from aerial images. In our approach, we extract the useful building location information from the generated disparity map to ...
Image segmentation is defined as partitioning an image into non-overlapping regions based on the intensity or texture. The active contour methods with comes from the basic ideas of Stochastic Motion a...
The development of LIDAR (Light Detection and Ranging) system makes the acquisition of 3D surface information more convenient and immediate than other geomatics technologies. However, the 3D coordinat...
Model-free image segmentation approaches for automatic building detection, usually fail to detect accurately building boundaries dueto shadows, occlusions and other low level misleading information. I...
A classification tree based approach for building detection was tested. A digital surface model (DSM) derived from last pulse laser scanner data was first segmented and the segments were classified in...
The automated and cost-effective building detection in ultra high spatial resolution is of major importance for various engineering and smart city applications. To this end, in this paper, a model-bas...
Stereoscopic analysis of target images is the primary and conventional method for photogrammetric 3D range data construction. For object detection in high resolution satellite images, it is advantage...
An approach was developed for updating the buildings of an existing vector database from high resolution space images by using spectral values, Digital Elevation Models (DEM) and model-based extract...
The robust detection of buildings in aerial images is an important part of the automated interpretation of these data. Applications are e.g. quality control and automatic updating of GIS data, automat...
In this paper, we describe the evaluation of a method for building detection by the Dempster-Shafer fusion of LIDAR data and multispectral images. For that purpose, ground truth was digitised for two ...

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