This paper presents a model-based approach for 3-D building reconstruction unstructured distinct points. The data structure of a building is an unstructured roof point cloud digitized by operators. Constructive Solid Geometry (CSG) model is applied in our approach for a complex roof which can be decomposed into three types of primitive models. The primitive model is represented as a tree. The l...

Roof problems, especially roof leaks, not only disrupt building operations, but can also contribute to the occurrence of severe internal Indoor Air Quality (IAQ) problems (Oliver 1997; Rivin 2001; Haverinen, Vahteristo et al. 2003). One of the well-accepted causes of roof leaks is the lack of roof maintenance (Lounis, Vanier et al. 1998a). The out-of-sight, out-of-mind nature of a roof’s locati...

considering current population rate and ratio of non renewable energies in countries' annual energy diagram which lead to increase of pollutions reeked from and irreparable effects on living environment, there will be an energy and living environment crisis in close future. so there are two main approaches that should be considered in countries' future program: change of construction ...

Laser scanning is a new technology for obtaining Digital Surface Models (DSM) of the earth surface. It is fast method for sampling the earth surface with a high density and high point accuracy. In this paper a procedure for building detection and roof extraction from the DSM is presented. The procedure starts by re-sampling elevation as obtained by laser scanning into regular grid. The core par...

In this paper, we will present a highly automated method of extracting 3D building information. Our approach set out to locate the vertices of building roof. For a start, we will limit our development to high rise buildings with approximately flat rooftop. If the main corners and intermediate vertices can be found, the 3D building model can be constructed. Our study is applying stereo pair sate...

Automatic extraction of buildings from digital images aims at detection of buildings from digital images and reconstruction of roof structure automatically. At Pictometry, more than 30 million images are captured every year and how to extract the useful information of objects on the ground from the existing image library for various applications is a big challenge we face now. In this paper, an...

The most important feature in urban modeling is the 3D building model. It is essential in many applications, such as 3D GIS, cyber city, true-orthophoto generation, etc. Due to the huge demand of 3D building model, an effective solution for geometrical building modeling is required. In this paper, a 3D building modeling based on the Split-Merge-Shape (SMS) algorithm is presented. Since the SMS ...

In this paper, a new approach for automated extraction of building boundary from high resolution imagery is proposed. The proposed approach uses both geometric and spectral properties of a building to detect and locate buildings accurately. It consists of automatic generation of high quality point cloud from the imagery, building detection from point cloud, classification of building roof and g...

Recent approaches for the automatic reconstruction of 3D building models from airborne point cloud data integrate prior knowledge of roof shapes with the intention to improve the regularization of the resulting models without lessening the flexibility to generate all real-world occurring roof shapes. In this paper, we present a method to integrate building knowledge into the data-driven approac...

Using airborne laser scanner data, buildings can be detected automatically, and their roof shapes can be reconstructed. The success rate of building detection and the level of detail of the resulting building models depend on the resolution of the laser scanner data, which is still lower than the resolution of aerial imagery. Building extraction from aerial images alone is difficult because of ...