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Proceedings Paper

A new target association algorithm based on invariant features in remote sensing images
Author(s): Lin Lei; Yi Su; Zhiyong Li
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Paper Abstract

There are two problems when associating multiple targets in remote sensing images: Firstly, with low temporal resolution observation, the target's kinematic state cannot be estimated accurately and the classical Kalman filtering association algorithms are no more applicable. Secondly, the classical image feature-based target matching algorithms cannot deal with the illegibility of multiple targets' correspondence, which don't take into account the uncertainty of feature extraction. To resolve above problems, a novel multiple targets association method based on Multi-scale Autoconvolution(MSA) features matching and global association cost optimization through simulated annealing (SA) algorithm is proposed. Experiments with remote sensing images show the applicability of the method for multiple targets association.

Paper Details

Date Published: 24 October 2007
PDF: 7 pages
Proc. SPIE 6748, Image and Signal Processing for Remote Sensing XIII, 67481B (24 October 2007); doi: 10.1117/12.737626
Show Author Affiliations
Lin Lei, National Univ. of Defense Technology (China)
Yi Su, National Univ. of Defense Technology (China)
Zhiyong Li, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 6748:
Image and Signal Processing for Remote Sensing XIII
Lorenzo Bruzzone, Editor(s)

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