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The recent success of deep convolutional neural networks (CNN) on a large number of applications can be attributed to large amounts of available training data and increasing computing power. In this p...
To deal with the problem of urban ground object information extraction, the paper proposes an object-oriented classification method using aerial image and LiDAR data. Firstly, we select the optimal se...
Image-based mobile mapping systems enable an efficient acquisition of georeferenced image sequences, which can be used for geo-data capture in subsequent steps. In order to provide accurate measuremen...
The efficiency and high mobility of Unmanned Aerial Vehicle (UAV) made them essential to aerial photography assisted survey and mapping. Especially for urban land use and land cover, that they often c...
The role for Digital Elevation Models (DEMs) has been expanding rapidly in recent years. Applications are increasing and encompass industries as diverse as telecommunications, forestry, municipal engi...
In cartographic applications, area-based matching techniques are commonly used for stereo matching of low-resolution aerial images.However, these techniques fail in matching high-resolution aerial ima...
21century is an era of cities as the trend of urbanization has developed into the theme of globalization. China, as one of the most thickly populated countries will have a deep influence on the world ...
Over the last couple of years more and more analogue airborne cameras were replaced by digital cameras. Digitally recorded image data show significant advantages to film based data. Digital aerial pho...
In order to supervise and manage building change in urban development, unmanned airship is recommended for building change. With the unmanned airship, lower flying height can be obtained. As a result,...
Shadow detection plays an important role in digital aerial image processing. In this paper, shadow is treated as a special kind of image degradation. Shadow region commonly has lower brightness than n...
With the emergence of more and more satellites delivering very high resolution (VHR) imagery with ground sampling distances in the range of one meter or below the generation of three dimensional urban...
Over the last decade, several automatic approaches have been proposed to extract and reconstruct 2D building footprints and 2D road profiles from ALS data, satellite images, and/or aerial imagery. Sin...
In order to adequately model ecosystems services of the urban environment, it is necessary to accurately inventory urban vegetation abundance and spatial distribution. An object-based, methodological ...
In this paper several possibilities of vehicle extraction from different airborne sensor systems are described. Three major frequency domains of remote sensing are considered, namely (i) visual, (ii...
In this study, We applied the true orthophoto obtained by combining the aerial photograph having high overlap ratio taken by area sensor type digital aerial camera “DMC” with the generation method e...

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