@inproceedings{aa6a6b6e2a0d479eaaf5b6fe54ffeba3,
title = "Space objects recognition based on ISAR image",
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.",
keywords = "ISAR, Recognition of objects, Spatial objects",
author = "Zhenyuan Ji and Hongyan Jin and Yun Zhang and Encheng Hu",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 ; Conference date: 14-07-2017 Through 16-07-2017",
year = "2019",
doi = "10.1007/978-981-10-6571-2\_145",
language = "英语",
isbn = "9789811065705",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "1215--1222",
editor = "Qilian Liang and Min Jia and Jiasong Mu and Wei Wang and Xuhong Feng and Baoju Zhang",
booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems",
address = "德国",
}