One of the challenging problems in photogrammetry is extracting of three-dimensional objects from aero images, in particular, extraction of different kinds of buildings. All methods that provide satisfactory results are rather time consuming and process data quite long. In the paper we propose a method that detects areas on aero images that might contain a building behind them. Our method allows reducing the amount of data which should be processed by more complex algorithms. This leads to reducing of the total time spent on extraction process
Building extraction in urban areas is one of the most difficult problems in image understanding and ...
Nowadays, multi-camera aerial platforms combining nadir and oblique cameras are experiencing a reviv...
Numerous applications related to urban scene analysis demand automatic recognition of buildings and ...
One of the challenging problems in photogrammetry is extracting of three-dimensional objects from ae...
This paper introduces a semi-automatic method for buildings extraction through multiple-view aerial ...
The development of a fully automated mapping system is one of the fundamental goals in photogrammetr...
In this paper, a feature line based method for building detection and reconstruction from oblique ai...
In this thesis, the problem of three dimensional (3D) reconstruction of building models using photom...
Algorithms and techniques for use in the identification and location of large buildings in digitized...
In this paper, a new approach for automated extraction of building boundary from high resolution ima...
Aerial images are widely used for building detection. However, the performance of building detection...
As more data sources containing 3-D information are becoming available, an increased interest in 3-D...
This thesis introduces a model-based technique for the automatic recognition and three-dimensional r...
Abstract—Automatic creation of 3D urban city maps could be an innovative way for providing geometric...
A method for detecting the buildings from high resolution aerial images is proposed. The aim is to e...
Building extraction in urban areas is one of the most difficult problems in image understanding and ...
Nowadays, multi-camera aerial platforms combining nadir and oblique cameras are experiencing a reviv...
Numerous applications related to urban scene analysis demand automatic recognition of buildings and ...
One of the challenging problems in photogrammetry is extracting of three-dimensional objects from ae...
This paper introduces a semi-automatic method for buildings extraction through multiple-view aerial ...
The development of a fully automated mapping system is one of the fundamental goals in photogrammetr...
In this paper, a feature line based method for building detection and reconstruction from oblique ai...
In this thesis, the problem of three dimensional (3D) reconstruction of building models using photom...
Algorithms and techniques for use in the identification and location of large buildings in digitized...
In this paper, a new approach for automated extraction of building boundary from high resolution ima...
Aerial images are widely used for building detection. However, the performance of building detection...
As more data sources containing 3-D information are becoming available, an increased interest in 3-D...
This thesis introduces a model-based technique for the automatic recognition and three-dimensional r...
Abstract—Automatic creation of 3D urban city maps could be an innovative way for providing geometric...
A method for detecting the buildings from high resolution aerial images is proposed. The aim is to e...
Building extraction in urban areas is one of the most difficult problems in image understanding and ...
Nowadays, multi-camera aerial platforms combining nadir and oblique cameras are experiencing a reviv...
Numerous applications related to urban scene analysis demand automatic recognition of buildings and ...