Paper Info
Title
A Study Of The Sensitivity Of Automatic Image Registration Algorithms To Initial Conditions
Abstract
While automatic image registration algorithms are usually being evaluated with regards to their accuracy, it is often useful to relate this accuracy to the "initial conditions", i.e., the distance between the initial navigation geolocation and the correct result. In this paper, we describe a modular framework that was built to describe registration algorithms, and we utilize this framework to attempt to classify different registration components and algorithms in terms of their responses to the initial conditions. Performances will be evaluated on synthetic data, multi-temporal and multi-sensor data. All results of the study will be presented at the conference and will he useful for two different purposes: (1) provide automatic quality assessment of the geo-location of remote sensing data by performing inter-algorithm consistency studies; and (2) be the foundations for the design of future on-board applications including planetary exploration.
Year
Venue
Keywords
2004
IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET
initial condition,synthetic data,wavelet transforms,remote sensing,image registration
Field
DocType
ISSN
Data mining,Computer science,Geolocation,Remote sensing,Synthetic data,Planetary exploration,Artificial intelligence,Automatic image registration,Wavelet transform,Computer vision,Algorithm,Modular design,Image registration
Conference
2153-6996
Citations 
PageRank 
References 
1
0.38
6
Authors
9
Name
Order
Citations
PageRank
Jacqueline Le Moigne125332.19
Jeffrey T. Morisette212617.62
Arlene A Cole-Rhodes3826.88
Kisha L. Johnson410.38
Nathan S. Netanyahu52786287.17
Roger D. Eastman6598.86
H.S. Stone725981043.16
Ilya Zavorin8763.54
Peyush Jain930.78