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In view of the traditional change detection algorithm mainly depends on the spectral information image spot, failed to effectively mining and fusion of multi-image feature detection advantage, the art...
Satellite images have great educational potential for teaching on environmental issues and can promote the motivation of young people to enter careers in natural science and technology. Due to the imp...
Nowadays, content-based image-retrieval techniques constitute powerful tools for archiving and mining of large remote sensing image databases. High spatial resolution images are complex and differ wid...
Due to the special imaging model of SAR, its image includes certain special information that unavailable in multispectral image, however, the interpretation of SAR image becomes more difficult than vi...
For a clustering algorithm, the number of clusters is a key parameter since it is directly related to the number of homogenous regions in the given image. Although ISODATA clustering algorithm can det...
The prototype of a personal navigator to support navigation and tracking of military and rescue ground personnel has been developed at The Ohio State University Satellite Positioning and Inertial Nav...
This paper presents a sophisticated tile-based terrain rendering system for large-area terrain visualization. The developed system employs quadtree algorithm to create multiple levels of details (LOD)...
Land use change (LUC) models used for modelling urban growth are different in structure and performance. Local models divide the data into separate subsets and fit distinct models on each of the subse...
This paper proposed a new method for sharing symbols between different GIS platform by using virtual machine technology, the symbol system consist of three parts, they are symbol virtual machine, virt...
Schematization is a quick visualization way to convey graphics information. In cartography, graphic schematization is one aspect of map generalization. This paper analyzes and summarizes the multiple ...
This paper introduced a new automatic terrain extraction (ATE) module inside ERDAS’s photogrammetric software LPS. This method uses a global DEM to initialize a surface model and iteratively refines i...
Filtering non-terrain points from raw laser scanning data is the most important goal to improve productivity in DTM generation.Filtering algorithms are built on assumptions about what discriminates te...
An adaptive, hyperspectral imager is presented. We propose a system with easily adaptable spectral resolution, adjustable acquisition time, and high spatial resolution which is independent of spectral...
The combination of photogrammetry (with its high geometric and radiometric resolution) and terrestrial laser scanning (allowing direct 3D measurement) is a very promising technique for object reconstr...
For communication tasks adapted types of information are needed. In navigation, for example, landmarks play an essential role. In order to be able to recognize these landmarks immediately also from ...

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