Machine Vision and Advanced Image Processing in Remote Sensing
Proceedings of Concerted Action MAVIRIC (Machine Vision in Remotely Sensed Image Comprehension)
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Beschreibung
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 radar sensors is progressing well, the question arises whether existing machine vision approaches could be advantageously used by the remote sensing community. Automatic feature/object extraction from remotely sensed images looks very attractive in terms of processing time, standardisation and implementation of operational processing chains, but it remains highly complex when applied to natural scenes.
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 sensing projects Focusses primarily on new (and forthcoming) very high-resolution satellite imagery
Autor*in
Ioannis Kanellopoulos
Themen in »Machine Vision and Advanced Image Processing in Remote Sensing«
3D Augmented Reality Change detection Computer Vision Hough transform Image segmentation LED Stereo filter image analysis image processing machine vision remote sensing visualization