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The intelligent retrieval of images from large databases is receiving increased attention in the computer vision community. In this paper we address this problem considering the particularities of ima...
Integration of image analysis and GIS for 3D city modeling.
In order to provide users with more diverse varieties of new GIS products that contain richer content, it is proposed that Image topographic maps and hill-shading topographic maps should beproduced as...
This paper proposed a method of unsupervised classification of polarimetric SAR data based on image clustering and H/A/a decomposition. Fully polarimetric L band data collected by ALOS PALSAR system w...
This paper presents a review of object-based image classification, outlining recent developments, assessing current capabilities and signposting future implications. Object-based classification method...
Based upon the in-depth analysis of the remote sensing image sharing demand and the status of the current research on it, this paper points out the existing Web-based sharing-model did not eliminate "...
Recently, visualization of urban scenes attracts attention from the perspective of tourism and cultural city activation. Considering the popularity of the digital still cameras, a more impressive form...
The traditional workflow of using remote sensing images in GIS applications is to acquire or purchase processed images and then use these “ready” images in GIS software. As the development of remote s...
Intelligent Vehicles, as a main part of Intelligent Transportation Systems (ITS), will have great impact on transportation in near future. They would be able to understand their immediate environment ...
Seagrass meadows are an important coastal habitat serving as a good indicator of healthy coastal ecosystems. Object-based image classification is a new method of seagrass mapping. The goal of the proj...
Extracting geographic information from aerial RS image has a character of economy, high efficiency and low cost, it is mostly means of renewing spatial data. This paper discusses the concept of evide...
In this paper, a framework is proposed to assess the quality of urban geospatial data using image information. An important aspect is the emphasis on accuracy and reliability of the system. The qualit...
Numerical modelling of highly complex processes in the surf and swash zone is an important task in coastal zone management. As input and reference data for these numerical models three-dimensional in...
Advances in sensor technology and computing capabilities and modalities are revolutionizing close-range image collection and analysis for geospatial applications. These advances create the need for n...
A Digital Surface Model (DSM) generated by automatic stereo matching of convergent image networks includes a great number of 3D-points that come from diverse combinations of stereo-pairs. This points...

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