With the rapid development of urban areas, the areas which may be used for new buildings are becoming smaller and smaller. Cities are divided into different areas based on the activities in these areas, a process called functional zoning. Depending on the functional zone, different kinds of buildings may be built. This thesis consists of two parts. The first part discusses segmentation of functional zones and image pre-processing such as morphological closing. The other part is about finding suitable building areas in Google maps. The thesis also presents an algorithm, implemented in Matlab, which provides a simple and efficient way of finding suitable building areas using Google maps
Functional areas are the basic spatial units in which cities or development zones implement urban pl...
As the world changes more rapidly, the demand for update information for resource management, enviro...
The paper presents a framework for characterizing and profiling city areas from available data provi...
The system is aimed to develop the 3D buildingmodel of urban area with low resolution satelliteimage...
Part 1: Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT)International audienceAs ...
The concentration of people, companies, research organizations and other activities in urban areas i...
This diploma thesis deals with the topic of automatic classification of buildings. The main goal of ...
In this paper, we present the algorithm aimed to segment the type of geographical space where points...
A building can be known by look shape, color, and texture. Building can be detected by using many me...
Urban areas are a complex combination of various land-cover types, and show a variety of land-use st...
The current research aims at investigating the potential of Image Segmentation (IS) as a data source...
Differentiation of the relief into separate elementary geomorphological sections yields the basis fo...
Urban functional zones, such as commercial, residential, and industrial zones, are basic units of ur...
Building generalization is a difficult operation due to the complexity of the spatial distribution o...
This paper presents an efficient graph-based algorithm for the segmentation of planar regions out of...
Functional areas are the basic spatial units in which cities or development zones implement urban pl...
As the world changes more rapidly, the demand for update information for resource management, enviro...
The paper presents a framework for characterizing and profiling city areas from available data provi...
The system is aimed to develop the 3D buildingmodel of urban area with low resolution satelliteimage...
Part 1: Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT)International audienceAs ...
The concentration of people, companies, research organizations and other activities in urban areas i...
This diploma thesis deals with the topic of automatic classification of buildings. The main goal of ...
In this paper, we present the algorithm aimed to segment the type of geographical space where points...
A building can be known by look shape, color, and texture. Building can be detected by using many me...
Urban areas are a complex combination of various land-cover types, and show a variety of land-use st...
The current research aims at investigating the potential of Image Segmentation (IS) as a data source...
Differentiation of the relief into separate elementary geomorphological sections yields the basis fo...
Urban functional zones, such as commercial, residential, and industrial zones, are basic units of ur...
Building generalization is a difficult operation due to the complexity of the spatial distribution o...
This paper presents an efficient graph-based algorithm for the segmentation of planar regions out of...
Functional areas are the basic spatial units in which cities or development zones implement urban pl...
As the world changes more rapidly, the demand for update information for resource management, enviro...
The paper presents a framework for characterizing and profiling city areas from available data provi...