Technical Program

Paper Detail

Paper:	SS-12.3
Session:	Hyperspectral Signal Processing
Time:	Friday, May 19, 17:10 - 17:30
Presentation:	Special Session Lecture
Topic:	Special Sessions: Hyperspectral signal processing
Title:	IMAGE REGISTRATION AND FUSION STUDIES FOR THE INTEGRATION OF MULTIPLE REMOTE SENSING DATA
Authors:	Jacqueline Le Moigne, NASA Goddard Space Flight Center, United States; Arlene Cole-Rhodes, Morgan State University, United States; Roger Eastman, Loyola College, United States; Peyush Jain, Aimee Joshua, Nargess Memarsadeghi, NASA Goddard Space Flight Center, United States; David Mount, Nathan Netanyahu, University of Maryland, United States; Jeffrey Morisette, Ezinne Uko-Ozoro, NASA Goddard Space Flight Center, United States
Abstract:	The future of remote sensing will see the development of spacecraft formations, and with this development will come a number of complex challenges such as maintaining precise relative position and specified attitudes. At the same time, there will be increasing needs to understand planetary system processes and build accurate prediction models. One essential technology to accomplish these goals is the integration of multiple source data. For this integration, image registration and fusion represent the first steps and need to be performed with very high accuracy. In this paper, we describe studies performed in both image registration and fusion, including a modular framework that was built to describe registration algorithms, a web-based image registration toolbox, and the comparison of several image fusion techniques using data from the EO-1/ALI and Hyperion sensors.