Amanda Ziemann presents scientific paper in Switzerland

2014 Jul 17

South Burlington, Vt., resident Amanda Ziemann presented her scientific research at the IEEE conference, Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, or WHISPERS, in Lausanne, Switzerland, June 24-27.

Ziemann is a Ph.D. candidate at the Rochester Institute of Technology Chester F. Carlson Center for Imaging Science. She presented her paper, "Manifold Representations of Single and Multiple Material Classes in High Resolution HSI." Ziemann also co-chaired the session, Hyperspectral Pansharpening and Super-resolution.

"My research focuses on applying advanced mathematical concepts, taken from the fields of data mining and computational graph theory, to analyze complex imagery," Ziemann said. "This imagery can be collected from airborne platforms or satellites and is called 'hyperspectral imaging'--images collected not in three colors, such as red, green and blue, but in hundreds of colors. The sensors that collect these images capture information beyond what the human eye can see, allowing researchers to better differentiate materials within the scene for applications including mapping natural disasters, tracking the spread of diseased crops and monitoring urban development."