Add to ORKGIn 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 test sites with quite different characteristics. Using these data sets, the heuristic model for the probability mass assignments of the method is validated, and rules for the tuning of the parameters of this model are discussed. Further we evaluate the contributions of the individual cues used in the classification process to the quality of the classification results. Our results show the degree to which the overall correctness of the results can be improved by fusing LIDAR data with multispectral images
Four different variants of building detection are presented. Each variant has a different workflow a...
In this paper, two main approaches for automatic building detection and localization using high spat...
Automated approaches to building detection in multi-source aerial data are important in many applica...
In this paper, we describe the evaluation of a method for building detection by the Dempster-Shafer ...
A method for the classification of land cover in urban areas by the fusion of first and last pulse L...
A method the automatic detection of buildings from LIDAR data and multispectral images is presented....
Automated approaches to building detection are of great importance in a number of different applicat...
This paper presents an application of data-driven Dempster-Shafer theory (DST) of evidence to fuse m...
This paper compares two multi-sensor data fusion techniques – Dempster-Sharfer Theory (DST) and Hue ...
A method for the classification of land cover in urban ar-eas by the fusion of first and last pulse ...
A method for the automatic detection of buildings and their roof planes from LIDAR data and multispe...
Abstract: In this paper, two main approaches for automatic building detection and localization using...
Building detection in complex scenes is a non-trivial exercise due to building shape variability, ir...
A method for the detection of buildings in densely built-up urban areas by the fusion of first and l...
Automatic building detection has been a hot topic since the early 1990’s. Early approaches were base...
Four different variants of building detection are presented. Each variant has a different workflow a...
In this paper, two main approaches for automatic building detection and localization using high spat...
Automated approaches to building detection in multi-source aerial data are important in many applica...
In this paper, we describe the evaluation of a method for building detection by the Dempster-Shafer ...
A method for the classification of land cover in urban areas by the fusion of first and last pulse L...
A method the automatic detection of buildings from LIDAR data and multispectral images is presented....
Automated approaches to building detection are of great importance in a number of different applicat...
This paper presents an application of data-driven Dempster-Shafer theory (DST) of evidence to fuse m...
This paper compares two multi-sensor data fusion techniques – Dempster-Sharfer Theory (DST) and Hue ...
A method for the classification of land cover in urban ar-eas by the fusion of first and last pulse ...
A method for the automatic detection of buildings and their roof planes from LIDAR data and multispe...
Abstract: In this paper, two main approaches for automatic building detection and localization using...
Building detection in complex scenes is a non-trivial exercise due to building shape variability, ir...
A method for the detection of buildings in densely built-up urban areas by the fusion of first and l...
Automatic building detection has been a hot topic since the early 1990’s. Early approaches were base...
Four different variants of building detection are presented. Each variant has a different workflow a...
In this paper, two main approaches for automatic building detection and localization using high spat...
Automated approaches to building detection in multi-source aerial data are important in many applica...