Based the Morphological Filtering BP Algorithm of SAR Image Recognition

DOI

10.2991/iccsee.2013.758How to use a DOI?

Keywords

morphological filtering, BP algorithm, neural network, Image Recognition

Abstract

SAR image recognition is an important content of of aviation image interpretation work. In this paper, the characteristics of SAR images a practical significance of morphological filtering neural network model and its adaptive BP learning algorithm. As can be seen through the experimental results, the algorithm can not only adapt to the complex and diverse background environment, and has a displacement of the same continuous moving target detection capability, telescopic invariant and rotation invariant features.

Copyright

© 2013, 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  - Dingding Jiang
AU  - Derong Cai
AU  - Qiang Wei
PY  - 2013/03
DA  - 2013/03
TI  - Based the Morphological Filtering BP Algorithm of SAR Image Recognition
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 3076
EP  - 3078
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.758
DO  - 10.2991/iccsee.2013.758
ID  - Jiang2013/03
ER  -