@inproceedings{d572c110040f4018b5f7f62bddf8271d,
title = "A fast recognition algorithm for dimension decreased extraction of space non-cooperative target",
abstract = "A rapid space non-cooperative target recognition method based on dimension reduction feature extraction was proposed to identify the target satellite containing interference information quickly and efficiently in the three-dimensional space. First, K-means clustering was performed on the source point cloud to obtain n clusters of point cloud. Next, valid points that met the requirements were retained according to the target characteristics. Then kd-tree algorithm was used to get the point density of each point, and further, the main features of various clusters were obtained after projecting the n clusters of point cloud based on the point density. Finally, all kinds of point cloud after dimension reduction were matched with a given reference point cloud, which aimed to get rough and precise two-dimensional rotation matrices respectively and corresponding rotation errors. By searching for the minimum rotation error, the cluster of the target could be searched. The source point cloud clustered into 4 and 6 clusters respectively was matched with the given 6 sets of reference point cloud. The result of the experiment shows that the proposed algorithm is not affected by the number of clusters for the point cloud data with interference information, and it can find the target accurately with a 100\% recognition rate within 2 seconds.",
keywords = "3D point cloud, Feature extraction, K-means clustering, Kd-tree search, Non-cooperative target recognition",
author = "Yue Liu and Jinyu Fu and Yifan Liu and Guanghui Sun",
note = "Publisher Copyright: {\textcopyright} 2021 SPIE; 7th Symposium on Novel Photoelectronic Detection Technology and Applications ; Conference date: 05-11-2020 Through 07-11-2020",
year = "2021",
doi = "10.1117/12.2586315",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Junhong Su and Junhao Chu and Qifeng Yu and Huilin Jiang",
booktitle = "Seventh Symposium on Novel Photoelectronic Detection Technology and Applications",
address = "美国",
}