Data Fusion and Integration for Multi-resolution Online 3d Environmental Monitoring

نویسندگان

  • Yun Zhang
  • Pingping Xie
  • Hui Li
چکیده

With the advancement of remote sensing sensor technologies, images of the earth’s surface have been collected at different spatial resolutions, in different spectral wavelengths (panchromatic, multispectral, hyperspectral), and with mono or stereoscopic views. The advancement of the technologies for geospatial information acquisition and extraction has allowed the generation of digital elevation models (DEMs) with different precisions for global coverage. And, the advancement of the Internet technologies has demonstrated a great potential for fast image data transfer and effective online mapping. This paper presents an automatic system for generating multi-scale colour 3D satellite images and dynamic visualization of 3D images online for environmental monitoring. Mediumresolution satellite images such as Landsat 7, high-resolution satellite images such as Ikonos or QuickBird, and commonly available DEMs are the primary data sources of the system. New image fusion, colour enhancement and stereoscopy algorithms are developed for the generation of multi-scale colour 3D satellite images. Latest Internet technologies are integrated into the system for fast and dynamic visualization of colour 3D images at different scales. State-of-the-art 3D displays present a great potential for 3D visualization of the colour satellite images without using 3D glasses.

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تاریخ انتشار 2007