A new hypothesis based method for detecting rectilinear buildings, that have ground projection made of combination of rectangles, in satellite images is proposed. While the hypotheses are established using the lines detected in the satellite images they are verified by using shadow and color segmentation information. The proposed method is implemented in MATLAB and tested in satellite images of different urban areas. The experimental results obtained are encouraging. ©2010 IEEE
This paper introduces a new approach for the automated detection of buildings from monocular very hi...
Detecting buildings from high-resolution satellite imagery is beneficial in mapping, environmental p...
This paper presents a novel approach to detect the buildings by automization of the training area co...
A method for detecting buildings from satellite/aerial images is proposed in this study. The aim is ...
Shadow detection and removal is an important task when dealing with color outdoor images. Shadows ar...
Apart from classical pattern recognition techniques applied for automated building detection in sate...
Automated building extraction from high-resolution satellite imagery is a challenging research probl...
Detecting and locating buildings in satellite images has various application areas. Unfortunately, m...
The purpose of this thesis is to develop a supervised building detection and extraction algorithm wi...
Detecting buildings from very high resolution aerial and satellite images is very important for mapp...
We propose a novel region-based approach for building detection in high-resolution satellite image w...
This letter introduces a new method for building extraction in satellite images. The algorithm first...
Abstract—Automatic creation of 3D urban city maps could be an innovative way for providing geometric...
A method based on textural features and Adaboost for detecting buildings in satellite images is prop...
Abstract—This paper proposes a probability model and efficient scheme to extract buildings object fr...
This paper introduces a new approach for the automated detection of buildings from monocular very hi...
Detecting buildings from high-resolution satellite imagery is beneficial in mapping, environmental p...
This paper presents a novel approach to detect the buildings by automization of the training area co...
A method for detecting buildings from satellite/aerial images is proposed in this study. The aim is ...
Shadow detection and removal is an important task when dealing with color outdoor images. Shadows ar...
Apart from classical pattern recognition techniques applied for automated building detection in sate...
Automated building extraction from high-resolution satellite imagery is a challenging research probl...
Detecting and locating buildings in satellite images has various application areas. Unfortunately, m...
The purpose of this thesis is to develop a supervised building detection and extraction algorithm wi...
Detecting buildings from very high resolution aerial and satellite images is very important for mapp...
We propose a novel region-based approach for building detection in high-resolution satellite image w...
This letter introduces a new method for building extraction in satellite images. The algorithm first...
Abstract—Automatic creation of 3D urban city maps could be an innovative way for providing geometric...
A method based on textural features and Adaboost for detecting buildings in satellite images is prop...
Abstract—This paper proposes a probability model and efficient scheme to extract buildings object fr...
This paper introduces a new approach for the automated detection of buildings from monocular very hi...
Detecting buildings from high-resolution satellite imagery is beneficial in mapping, environmental p...
This paper presents a novel approach to detect the buildings by automization of the training area co...