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Journal of Applied Remote Sensing

Automated registration and orthorectification package for Landsat and Landsat-like data processing
Author(s): Feng Gao; Jeffrey G. Masek; Robert E. Wolfe
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Paper Abstract

Precise registration and orthorectification of remote sensing images are the basic processes for quantitative remote sensing applications, especially for multi-temporal image analysis. In this paper, we present an automated precise registration and orthorectification package (AROP) for Landsat and Landsat-like data processing. The Landsat and Landsat-like satellite images acquired from different sensors at different spatial resolutions and projections can be re-projected, co-registered, and orthorectified to the same projection, geographic extent, and spatial resolution using a common base image through a combined resampling strategy; this allows us to perform multi-temporal image analysis directly. This paper presents and tests the AROP package on Landsat and Landsat-like data. The package is now freely available from our research web site.

Paper Details

Date Published: 1 March 2009
PDF: 20 pages
J. Appl. Remote Sens. 3(1) 033515 doi: 10.1117/1.3104620
Published in: Journal of Applied Remote Sensing Volume 3, Issue 1
Show Author Affiliations
Feng Gao, Earth Resources Technology, Inc. (United States)
Jeffrey G. Masek, NASA Goddard Space Flight Ctr. (United States)
Robert E. Wolfe, NASA Goddard Space Flight Ctr. (United States)


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