@inproceedings{df9d8c4658d24156b34a66a735d2ca27,
title = "Fast ship detection in optical remote sensing images based on sparse mobilenetv2 network",
abstract = "Ship detection in optical remote sensing images (ORSIs) has drawn lots of attention because of its extensive potential in maritime applications. Although many methods have been proposed in recent years, there are still great challenges for improving the detection accuracy and detection speed. In this paper, a fast ship detection method in optical remote sensing images based on sparse MobileNetV2 network is proposed, which has high accuracy and fast detection speed. Ship detection problem is turned into a sub-image classification one, which successfully avoids the massive computation caused by the region proposal stage in previous methods. The sparse MobileNetV2 network has high detection accuracy and less computation benefited from the convolutional neural networks and the depth separable convolution. Furthermore, the pruning method is used to compress the network to decrease model complexity and prevent overfitting. Several experiments are conducted based on some optical remote sensing images from Google Earth. The results demonstrate that the proposed method achieves over 5x speed enhancement compared with several mainstream ship detection methods, while the accuracy is competitive.",
keywords = "Model compression, Optical remote sensing image, Ship detection, Sparse MobileNetV2 network",
author = "Jinxiang Yu and Tong Yin and Shaoli Li and Shuo Hong and Yu Peng",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2020.; 13th International Conference on Genetic and Evolutionary Computing, ICGEC 2019 ; Conference date: 01-11-2019 Through 03-11-2019",
year = "2020",
doi = "10.1007/978-981-15-3308-2\_30",
language = "英语",
isbn = "9789811533075",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "262--269",
editor = "Jeng-Shyang Pan and Yongquan Liang and Lin, \{Jerry Chun-Wei\} and Shu-Chuan Chu",
booktitle = "Genetic and Evolutionary Computing - Proceedings of the 13th International Conference on Genetic and Evolutionary Computing, 2019",
address = "德国",
}