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

doi:10.3390/rs14246312

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	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
刊名	Remote Sensing
	2022
卷号	14 期号:24
ISSN号	20724292
DOI	10.3390/rs14246312
英文摘要	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.
URL标识	查看原文
内容类型	期刊论文
源URL	[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).