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Demand-Aware Opportunistic Spectrum Access: A Game-Theoretic Learning Approach Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Space Objects Recognition Based on ISAR Image

Authors : Zhenyuan Ji, Hongyan Jin, Yun Zhang, Encheng Hu

Published in: Communications, Signal Processing, and Systems

Publisher: Springer Singapore

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Abstract

In this paper, a method of spatial object recognition based on ISAR image is studied, and the recognition result of four kinds of spatial objects is given by simulation. Firstly, the feature of ISAR image is extracted based on two-dimensional wavelet transform and Gabor wavelet transform, and then the sub-optimal search method is used to compress the feature to improve the efficiency. Finally, the BP neural network is used to identify the target. The simulation result validates the effectiveness of the proposed algorithm.

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previous chapter Parallel Processing Implement Construction of Target Echo Simulation Based on Real Track
next chapter Target Detection Based on High-Level Image Information for High-Resolution SAR Images
Literature
1.
Li, F.: Radar image target feature extraction method, pp. 2–6. Xi’an University of Electronic Science and Technology, Xi’an (2014)
2.
Wang, S.: High-resolution SAR simulation image generation technology and its application in target recognition, pp. 20–25. National University of Defense Technology, Changsha (2011). (Three-dimensional model)
3.
Ma, J., Zhao, H., Li, B.: Spatial target recognition algorithm based on two-dimensional wavelet transform. J. Natl. Univ. Defense Technol. 28(1), 57–61 (2006)
4.
Tang, N.: Research on feature extraction and recognition technology of airborne target ISAR, pp. 6–8, 28–30. Graduate School of National Defense Science and Technology, Changsha (2012)
5.
Wang, F., Sheng, W.-X., Ma, X.-F., Wang, H.: Improved ISAR image recognition based on Gabor amplitude feature and phase feature fusion. J. Electron. Inf. Technol. 35(3), 1813–1816 (2013)
Metadata
Title
Space Objects Recognition Based on ISAR Image
Authors
Zhenyuan Ji
Hongyan Jin
Yun Zhang
Encheng Hu
Copyright Year
2019
Publisher
Springer Singapore
Book
Communications, Signal Processing, and Systems

Print ISBN: 978-981-10-6570-5

Electronic ISBN: 978-981-10-6571-2

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-10-6571-2_145