书目名称 | Machine Vision and Advanced Image Processing in Remote Sensing |
副标题 | Proceedings of Conce |
编辑 | Ioannis Kanellopoulos,Graeme G. Wilkinson,Theo Moo |
视频video | |
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 |
图书封面 |  |
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 |
关键词 | 3D; Augmented Reality; Change detection; Computer Vision; Hough transform; Image segmentation; LED; Stereo; |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-642-60105-7 |
isbn_softcover | 978-3-642-64260-9 |
isbn_ebook | 978-3-642-60105-7 |
copyright | Springer-Verlag Berlin · Heidelberg 1999 |