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GPU-based framework for distributed interactive 3D visualization of multimodal remote sensing data

Martin Lambers, Andreas Kolb
Institute for Vision and Graphics, University of Siegen, Siegen, Germany
IEEE International Geoscience and Remote Sensing Symposium, 2009 IGARSS 2009

@inproceedings{lambers2009gpu,

   title={GPU-based framework for distributed interactive 3D visualization of multimodal remote sensing data},

   author={Lambers, M. and Kolb, A.},

   booktitle={Geoscience and Remote Sensing Symposium, 2009 IEEE International, IGARSS 2009},

   volume={4},

   pages={IV–57},

   year={2009},

   organization={IEEE}

}

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Interactive visualization of remote sensing data allows the user to explore the full scope of the data sets. Combining and comparing different modalities can give additional insight. In this paper, we present a 3D visualization framework for interactive exploration of remote sensing data. Data from different modalities can be combined into a single view. The visualization can be distributed across multiple graphics processing units and/or hosts, allowing interactive exploration of remote sensing data in virtual reality systems.
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