A Multi-Scale Feature Pyramid Network for Detection and Instance Segmentation of Marine Ships in SAR Images

doi:10.3390/rs14246312

CIOMP OpenIR

	A Multi-Scale Feature Pyramid Network for Detection and Instance Segmentation of Marine Ships in SAR Images
	Z. Sun; C. Meng; J. Cheng; Z. Zhang and S. Chang
	2022
发表期刊	Remote Sensing
ISSN	20724292
卷号	14 期号:24
摘要	In the remote sensing field, synthetic aperture radar (SAR) is a type of active microwave imaging sensor working in all-weather and all-day conditions, providing high-resolution SAR images of objects such as marine ships. Detection and instance segmentation of marine ships in SAR images has become an important question in remote sensing, but current deep learning models cannot accurately quantify marine ships because of the multi-scale property of marine ships in SAR images. In this paper, we propose a multi-scale feature pyramid network (MS-FPN) to achieve the simultaneous detection and instance segmentation of marine ships in SAR images. The proposed MS-FPN model uses a pyramid structure, and it is mainly composed of two proposed modules, namely the atrous convolutional pyramid (ACP) module and the multi-scale attention mechanism (MSAM) module. The ACP module is designed to extract both the shallow and deep feature maps, and these multi-scale feature maps are crucial for the description of multi-scale marine ships, especially the small ones. The MSAM module is designed to adaptively learn and select important feature maps obtained from different scales, leading to improved detection and segmentation accuracy. Quantitative comparison of the proposed MS-FPN model with several classical and recently developed deep learning models, using the high-resolution SAR images dataset (HRSID) that contains multi-scale marine ship SAR images, demonstrated the superior performance of MS-FPN over other models. 2022 by the authors.
DOI	10.3390/rs14246312
URL	查看原文
收录类别	ei
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/66883
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Z. Sun,C. Meng,J. Cheng,et al. A Multi-Scale Feature Pyramid Network for Detection and Instance Segmentation of Marine Ships in SAR Images[J]. Remote Sensing,2022,14(24).
APA	Z. Sun,C. Meng,J. Cheng,&Z. Zhang and S. Chang.(2022).A Multi-Scale Feature Pyramid Network for Detection and Instance Segmentation of Marine Ships in SAR Images.Remote Sensing,14(24).
MLA	Z. Sun,et al."A Multi-Scale Feature Pyramid Network for Detection and Instance Segmentation of Marine Ships in SAR Images".Remote Sensing 14.24(2022).

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
A Multi-Scale Featur（10693KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载