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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...
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...
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...
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 ...
In this paper, a feature line based method for building detection and reconstruction from oblique airborne imagery is presented. With the development of Multi-View Stereo technology, increasing photog...
Building detection in complex scenes is a non-trivial exercise due to building shape variability, irregular terrain, shadows, and occlusion by highly dense vegetation. In this research, we present a g...
This paper proposes a new approach on digital building detection through the integration of LiDAR data and aerial imagery. It is known that most building rooftops are represented by different regions ...
This paper describes a new framework for building recognition in aerial images. The proposed framework integrates several low-level image-processing algorithms to derive from different cues as colour,...

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