Technical Challenge Describe the application/research problems to be solved.

1. Feature Based Fusion of Multi-Sensor DataWest State University PI: John A. Doe Year of Grant: 2009 Technical Challenge • Describe the application/research problems to be solved. • What is the value of solving these problems or sub-problems? Research Approach: Concisely describe the technical/research approach being pursued in this research grant for a wide audience. Example: Several fusion techniques utilizing a combination of spatial and spectral information are being examined using image pairs of different scales, modalities, and textures. To improving object classification, we propose unsupervised classification schemes reliant on different filters and matrices for capturing local spatial information to be used in conjunction with spectral data, including hypersepctral data and LIDAR imagery as a means of gaining finer resolution both spectrally and spatially. Meaningful graphic if needed Accomplishments/Results Describe what has been accomplished and their importance. Example: • Developed a new method for resampling imagery that reduces mixing of pixels • Developed and tested new method that uses texture information from a high resolution image from one platform and low resolution multispectral imagery from another platform. • A test application has begun that uses a course to fine strategy to search for suspicious sites. Potential Research Payoff Describe what impact successful research will deliver. Example: • Allow richer analysis from multiple data sources. • Reduce analyst time needed to conduct search and site analysis. Collaborations and Teaming Describe collaborations formed, including multiple support that can provide added benefit to all sponsors. Example: • Working with Dr. Jane Doe at the East State Univ to incorporate thermal data • Complementary projects supported by DARPA/IARPA and DOE Future Efforts • Incorporate digital elevation maps and LIDAR data to enhance fusion of multiple images • Consideration of atmospheric effects such as partial attenuation and obscuration that is inconsistent from one image to the next. Contact Info • PI: doeja@wsu.edu TM: Jon Q. Science 123-456-7899 jon.q.science@nga.mil 703-735-1234 • Transition Opportunities • Describe existing and potential research and/or application transitions to NGA, Government, Commercial or Industry. Example: • Software prototype integrated to Adobe XXX and being tested by NGA • YYY Corporation initiated an application research program based on this work