temporal modelling, Spatial data modelling, decision support The study involves segmentation of the image using the three segmentation modules of three software namely ERDAS Imagine, ENVI and eCognition to extract building features. The best parameters for segmenting buildings have been established. New method of evaluation has been presented for evaluating segmentation quality. The results of three segmentation modules are assessed using the proposed evaluation methodology and the results are discussed. A general comparison of the three tools is also provided at the end
An automatic urban building extraction method for high-resolution remote-sensing imagery,which combi...
Geographic object-based image analysis (GEOBIA) is a promising methodology lot image analysis, in wh...
Over the last decade, several automatic approaches have been proposed to reconstruct 3D building mod...
Primarily due to the progresses in spatial resolution of satellite imagery, the methods of segment-b...
This paper describes a system for analysis of aerial images of urban areas using multiple images fro...
Lately, with progresses in remote sensing information techniques and the growingly and unprecedented...
Methods of image segmentation become more and more important in the field of remote sensing image an...
Identification and mapping of urban features such as buildings and roads are an important task for c...
This paper describes a system for analysis of aerial images of urban areas using multiple images fro...
In this paper authors processed five satellite image of five different Middle-European cities taken ...
In the application of machine learning to geographic object based image analysis, several parameters...
The segmentation of a high spatial resolution remote sensing image is a critical step in geographic ...
The topic of this thesis is the usage of remote sensing hyperspectral images and digital surface mod...
The aim of this study is to compare remote sensing methods in the context of a vegetation mapping of...
Multiresolution segmentation is a new procedure for image object extraction. It allows the segmentat...
An automatic urban building extraction method for high-resolution remote-sensing imagery,which combi...
Geographic object-based image analysis (GEOBIA) is a promising methodology lot image analysis, in wh...
Over the last decade, several automatic approaches have been proposed to reconstruct 3D building mod...
Primarily due to the progresses in spatial resolution of satellite imagery, the methods of segment-b...
This paper describes a system for analysis of aerial images of urban areas using multiple images fro...
Lately, with progresses in remote sensing information techniques and the growingly and unprecedented...
Methods of image segmentation become more and more important in the field of remote sensing image an...
Identification and mapping of urban features such as buildings and roads are an important task for c...
This paper describes a system for analysis of aerial images of urban areas using multiple images fro...
In this paper authors processed five satellite image of five different Middle-European cities taken ...
In the application of machine learning to geographic object based image analysis, several parameters...
The segmentation of a high spatial resolution remote sensing image is a critical step in geographic ...
The topic of this thesis is the usage of remote sensing hyperspectral images and digital surface mod...
The aim of this study is to compare remote sensing methods in the context of a vegetation mapping of...
Multiresolution segmentation is a new procedure for image object extraction. It allows the segmentat...
An automatic urban building extraction method for high-resolution remote-sensing imagery,which combi...
Geographic object-based image analysis (GEOBIA) is a promising methodology lot image analysis, in wh...
Over the last decade, several automatic approaches have been proposed to reconstruct 3D building mod...