Space Targets Classification and Recognition Based on Affine Invariant Moments

DOI

10.2991/iccasm.2012.379How to use a DOI?

Keywords

Space targets, Affine transform model, Affine invariant moments, Classification, Recognition

Abstract

An affine transformation model is established for ground-based photoelectric imaging and detecting systems. This model shows that affine transform consists of five basic transformations, which are translation, scale, slant and rotation transformations. Six affine invariant moments are given with geometrical moments. Furthermore. affine invariant moment vectors of training data are calculated for four-class simulated space target images. For different viewpoint angle target images, the affine invariant moments are calculated. Simulation experiments are performed for space targets classification and recognition through their eigenvectors comparing. Simulated results show that the method of target images classification recognition based on affine invariant moments is effective.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Feng Wang
AU  - Fankun Meng
AU  - Debao Ma
PY  - 2012/08
DA  - 2012/08
TI  - Space Targets Classification and Recognition Based on Affine Invariant Moments
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1480
EP  - 1483
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.379
DO  - 10.2991/iccasm.2012.379
ID  - Wang2012/08
ER  -