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Using Image Tour to Explore Multiangle, Multispectral Satellite ImageThis viewgraph presentation reviews the use of Image Tour to explore the multiangle, multispectral satellite imagery. Remote sensing data are spatial arrays of p-dimensional vectors where each component corresponds to one of p variables. Applying the same R(exp p) to R(exp d) projection to all pixels creates new images, which may be easier to analyze than the original because d < p. Image grand tour (IGT) steps through the space of projections, and d=3 outputs a sequence of RGB images, one for each step. In this talk, we apply IGT to multiangle, multispectral data from NASA's MISR instrument. MISR views each pixel in four spectral bands at nine view angles. Multiple views detect photon scattering in different directions and are indicative of physical properties of the scene. IGT allows us to explore MISR's data structure while maintaining spatial context; a key requirement for physical interpretation. We report results highlighting the uniqueness of multiangle data and how IGT can exploit it.
Document ID
20090011856
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Braverman, Amy
Wegman, Edward J.
(George Mason Univ. VA, United States)
Martinez, Wendy
(Office of Naval Research United States)
Symanzik, Juergen
(Utah State Univ. Logan, UT, United States)
Wallet, Brad
(Automated Decisions United States)
Date Acquired
August 24, 2013
Publication Date
August 6, 2006
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: Joint Statistical Meeting
Location: Seattle, WA
Country: United States
Start Date: August 6, 2006
Distribution Limits
Public
Copyright
Other
Keywords
visualization
high dimensional data analysis
massive data sets
multiangle multispectral Imagery

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