Marine geospatial data has been collected over hundreds of years to varying degrees of accuracy,
sometimes with errors of several miles in relation to modern satellite navigation and remote sensing
accuracies. This paper details research and production activities by the National Geospatial-Intelligence Agency (NGA) aimed at improving the worldwide accuracy of coastal data and NGA future directions for better GEOINT support of Maritime Domain Awareness.
The Pacific Northwest National Laboratory is involved in the design and development of algorithms to improve feature identification and detection using multisensor imagery. This research is funded jointly by the National Imagery and Mapping Agency (NIMA) and the U.S. Department of Energy. A process has been designed that exploits the spatial discontinuities in a scene as revealed by the reflectance variation in a given frequency. We believe that by mapping the discontinuities in a scene, man-made objects can be better distinguished from natural objects. The process involves the generation of a texture map for each of the multisensor data sets; this facilitates the fusion of data from different sources with different physical characteristics. The advantage of this approach is that texture seems to reduce image data to a common base. This common base becomes important when using data of variable quality, resolution, and geometry. Texture analysis has applicability to a wide variety of feature identification and extraction applications. This paper focus on demonstrating how the classification of texture maps derived from multisensor imagery can be used to automatically extract major roads from multisensor imagery, a requirement from NIMA under its comprehensive and integrated geospatial information generation strategy. Automatic/assisted road extraction is a particularly challenging task given the need for global coverage, accurate positioning, and sophisticated attribution.
Conference Committee Involvement (2)
Optics and Photonics in Global Homeland Security V
14 April 2009 | Orlando, Florida, United States
Defense Transformation and Net-Centric Systems 2008
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