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Titlebook: Machine Vision and Advanced Image Processing in Remote Sensing; Proceedings of Conce Ioannis Kanellopoulos,Graeme G. Wilkinson,Theo Moo Con

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書目名稱Machine Vision and Advanced Image Processing in Remote Sensing
副標題Proceedings of Conce
編輯Ioannis Kanellopoulos,Graeme G. Wilkinson,Theo Moo
視頻videohttp://file.papertrans.cn/621/620793/620793.mp4
概述Good overview of the state of the art in Europe in advanced image analysis techniques for remote sensing.Insight to computer vision techniques and software tools that could be used in future remote se
圖書封面Titlebook: Machine Vision and Advanced Image Processing in Remote Sensing; Proceedings of Conce Ioannis Kanellopoulos,Graeme G. Wilkinson,Theo Moo Con
描述Since 1994, the European Commission has undertaken various actions to expand the use of Earth observation (EO) from space in the Union and to stimulate value-added services based on the use of Earth observation satellite data.‘ By supporting research and technological development activities in this area, DG XII responded to the need to increase the cost-effectiveness of space- derived environmental information. At the same time, it has contributed to a better exploitation of this unique technology, which is a key source of data for environmental monitoring from local to global scale. MAVIRIC is part of the investment made in the context of the Environ- ment and Climate Programme (1994-1998) to strengthen applied techniques, based on a better understanding of the link between the remote sensing signal and the underlying bio- geo-physical processes. Translation of this scientific know-how into practical algorithms or methods is a priority in order to con- vert more quickly, effectively and accurately space signals into geographical information. Now the availability of high spatial resolution satellite data is rapidly evolving and the fusion of data from different sensors including ra
出版日期Conference proceedings 1999
關鍵詞3D; Augmented Reality; Change detection; Computer Vision; Hough transform; Image segmentation; LED; Stereo;
版次1
doihttps://doi.org/10.1007/978-3-642-60105-7
isbn_softcover978-3-642-64260-9
isbn_ebook978-3-642-60105-7
copyrightSpringer-Verlag Berlin · Heidelberg 1999
The information of publication is updating

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Multi-Channel Remote Sensing Data and Orthogonal Transformations for Change Detectionretching and masking of the change images shows the usefulness of the new MAD and MAF/MAD change detection schemes. A simple simulation of a no-change situation shows the power of the MAD and MAF/MAD transformations
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Image Analysis Techniques for Urban Land Use Classification. The Use of Kernel Based Approaches to P imagery over the city of Athens is presented. Although some of these techniques return rather satisfactory results, the need for the development of more advanced interpretation methods, which integrate human reasoning in object identification is considered as indispensable, as the spatial resolutio
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Visualizing Remotely Sensed Depth Maps using Voxelsy changed this panorama. This is the ideal arena for normal computer graphics surfaces to be visualized in the voxel format. The visualization of remotely sensed depth maps can also benefit of these techniques and profit of a number of advantages over traditional graphics.
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