Final Report: Estimation and Simulation of Hyperspectral Images

The goal of the research was to create enhanced practical methods to estimate and simulate hyperspectral images by using recorded data of low spectral resolution images. These data can be used to test algorithms designed for many hyperspectral image analysis tasks, such as target detection, classification and tracking. An advantage is that these images are unclassified and can be used in a university environment where international students are often used. The images are also readily defined to allow ground truth to be known so that accuracy of the image analysis tasks can be measured. (a) Papers published in peer-reviewed journals (N/A for none) List of papers submitted or published that acknowledge ARO support during this reporting period. List the papers, including journal references, in the following categories: (b) Papers published in non-peer-reviewed journals or in conference proceedings (N/A for none) 0.00 Number of Papers published in peer-reviewed journals: Number of Papers published in non peer-reviewed journals: H. J. Trussell, J. Nanjappan ``Building Look-up Tables of Sparsely Sampled Color Signals,'' Proc. of Workshop on Approximation and Optimization in Image Restoration and Reconstruction, 8-12 June 2009, Ile de Porquerolles, France. (c) Presentations 0.00 Number of Presentations: 1.00 Non Peer-Reviewed Conference Proceeding publications (other than abstracts): Number of Non Peer-Reviewed Conference Proceeding publications (other than abstracts): 0 Peer-Reviewed Conference Proceeding publications (other than abstracts): (d) Manuscripts Number of Peer-Reviewed Conference Proceeding publications (other than abstracts): 0 Number of Manuscripts: 0.00 Number of Inventions: Graduate Students PERCENT_SUPPORTED NAME Jayakumar Nanjappan 0.50 Pradeep Dorairaj 0.25 Karthik Krish 0.25 1.00 FTE Equivalent: 3 Total Number: Names of Post Doctorates PERCENT_SUPPORTED NAME FTE Equivalent: Total Number: Names of Faculty Supported PERCENT_SUPPORTED NAME FTE Equivalent: Total Number: Names of Under Graduate students supported PERCENT_SUPPORTED NAME FTE Equivalent: Total Number: The number of undergraduates funded by this agreement who graduated during this period with a degree in science, mathematics, engineering, or technology fields: The number of undergraduates funded by your agreement who graduated during this period and will continue to pursue a graduate or Ph.D. degree in science, mathematics, engineering, or technology fields: Number of graduating undergraduates who achieved a 3.5 GPA to 4.0 (4.0 max scale): Number of graduating undergraduates funded by a DoD funded Center of Excellence grant for Education, Research and Engineering: The number of undergraduates funded by your agreement who graduated during this period and intend to work for the Department of Defense The number of undergraduates funded by your agreement who graduated during this period and will receive scholarships or fellowships for further studies in science, mathematics, engineering or technology fields: 0.00