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16 - Challenges, solutions, and applications of accurate multiangle image registration: Lessons learned from MISR

from PART IV - Applications and Operational Systems

Published online by Cambridge University Press:  03 May 2011

By
Veljko M. Jovanovic ,
David J. Diner  and
Roger Davies
Edited by
Jacqueline Le Moigne ,
Nathan S. Netanyahu  and
Roger D. Eastman
Veljko M. Jovanovic
Affiliation:
California Institute of Technology, California
David J. Diner
Affiliation:
California Institute of Technology, California
Roger Davies
Affiliation:
The University of Auckland, New Zealand
Jacqueline Le Moigne
Affiliation:
NASA-Goddard Space Flight Center
Nathan S. Netanyahu
Affiliation:
Bar-Ilan University, Israel and University of Maryland, College Park
Roger D. Eastman
Affiliation:
Loyola University Maryland
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Summary

Abstract

A novel approach implemented to meet coregistration/georectification requirements and continuous data-intensive processing demands of the Multi-angle Imaging SpectroRadiometer (MISR) science data system has been in operation since the beginning of on-orbit data acquisition in February 2000. Remote sensing image data are typically only radiometrically and spectrally corrected as a part of standard processing, prior to being distributed to investigators. In the case of MISR, with its unique configuration of nine fixed pushbroom cameras, continuous and autonomous coregistration and geolocation of the data are essential prior to application of any subsequent scientific retrieval algorithm. A fully automated system for continuous orthorectification, including removal of errors related to camera internal geometry, spacecraft attitude data, and surface topography, has been implemented.

The challenges involved in employing such a system range from purely algorithmic issues to those related to limitations on computational resources and data volumes. Processing algorithms had to be designed so that ~35 GB of image data per day are orthorectified without interruption and with high fidelity, as verified by an automated quality assessment process. We adopted a processing strategy that distributes the effort between the MISR Science Computing Facility at the Jet Propulsion Laboratory in Pasadena, CA and the Distributed Active Archive Center (DAAC) at the NASA Langley Research Center, Hampton, VA.

Accurate geolocation and coregistration of multiangle, multispectral MISR data is critical for the higher-level science retrieval algorithms.

Type
Chapter
Information
Image Registration for Remote Sensing , pp. 355 - 382
Publisher: Cambridge University Press
Print publication year: 2011

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