Visualization of High-dimensional Remote- Sensing Data Products An Innovative Graduate Student Research Proposal Principle Innovator
نویسندگان
چکیده
The purpose of this proposal is to obtain funding for a collaborative project between members of the Munsell Color Science Laboratory (MCSL) and Digital Imaging and Remote Sensing Laboratory (DIRS) to investigate the application of color in the visualization of highdimensional remote-sensing products for interpretation and exploitation. Using a spectral unmixing algorithm for land classification of hyperspectral imagery, a “data cube” can be derived containing two dimensions of spatial information, and a third dimension of land-class abundance. Visualization of these data is a particularly challenging and unsolved problem. Color, as an important natural tool to convey information, can be used to facilitate the task of data analysis. Based on data products derived from analysis of a spacecraft-borne sensor (the Hyperion sensor on the EO-1 satellite) we will develop visualization techniques based on principles of human vision, color appearance, and color perception. The effectiveness of the techniques will be evaluated through psychophysical experiments including the assessment of accuracy in judging land-class abundances and evaluation of preference and judgments of usefulness of the various visualization techniques by a range of observers spanning from novices to expert data analysts. Dollar Request: $6,000 Desired Funding Dates: June 1, 2005 – May 31, 2006
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