高分三号SAR影像在国家海域使用动态监测中的应用

范剑超; 王德毅; 赵建华; 宋德瑞; 韩敏; 姜大伟

doi:10.12000/JR17080

高分三号SAR影像在国家海域使用动态监测中的应用

doi: 10.12000/JR17080

范剑超^1,2, ,,
王德毅^3,,
赵建华^1,2,,
宋德瑞^1,2,,
韩敏^3,,
姜大伟^1,2,

①.
国家海洋环境监测中心海域资源环境动态监管中心大连 116023
②.
国家海洋局海域管理技术重点实验室大连 116023
③.
大连理工大学电子信息与电气工程学部大连 116024

基金项目: 国家重点研发计划(2016YFC1401007, 2017YFC1404902)，国家自然科学基金(41706195, 61273307)，国家高分重大科研专项(41-Y30B12-9001-14/16)

详细信息

作者简介:
范剑超(1985–)，男，内蒙古巴彦淖尔人，博士，副研究员。2012年于大连理工大学电子信息与电气工程学部获得博士学位，现为国家海洋环境监测中心海域动态监管中心副研究员。主要研究方向为SAR图像处理、人工智能等，目前已经发表论文50余篇。E-mail: jcfan@nmemc.org.cn

王德毅(1989–)，男，辽宁鞍山人，大连理工大学电子信息与电气工程学部控制理论与控制工程专业博士研究生，研究方向为遥感影像解译、机器学习。E-mail: deyiwang@mail.dlut.edu.cn

赵建华(1977–)，男，安徽临泉人，博士，工程技术带头人，2004年获浙江大学构造地质学博士学位，现任国家海洋环境监测中心联合工作组首席专家。主要研究方向为海域动态监测业务，目前已经发表论文30余篇。E-mail: jhzhao77@163.com

宋德瑞(1978–)，男，黑龙江通河人，在读博士，高级工程师，2016年辽宁师范大学城市与环境学院博士研究生，现任国家海洋环境监测中心海域动态监管中心高级工程师。主要研究方向为海域动态监测业务信息化，目前已经发表论文20余篇。E-mail: drsong@nmemc.org.cn

韩　敏(1959–)，女，辽宁大连人，博士，教授。1999年于日本国立九州大学获得博士学位，现为大连理工大学电子信息与电气工程学部教授，博士生导师。主要研究方向为神经网络、模式识别、复杂工业系统建模与控制、智能技术及优化算法，目前已发表论文270余篇。E-mail: minhan@dlut.edu.cn

姜大伟(1991–)，男，山东德州人，硕士，助教，2016年在辽宁师范大学城市与环境学院获得硕士学位，现担任通化师范学院历史与地理学院教师。主要研究方向为海洋遥感SAR图像处理。目前已发表论文3篇。E-mail: 18840817436@163.com

通讯作者:
范剑超 jcfan@nmemc.org.cn

中图分类号: TP79
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- 被引次数: 0
出版历程
- 收稿日期: 2017-09-07
- 修回日期: 2017-10-17
- 网络出版日期: 2017-10-28

National Sea Area Use Dynamic Monitoring Based on GF-3 SAR Imagery

Fan Jianchao^{1,2
, ,},
Wang Deyi^3
,,
Zhao Jianhua^{1,2
,},
Song Derui^{1,2
,},
Han Min^3
,,
Jiang Dawei^{1,2
,}

①.
National Marine Environmental Monitoring Center, Marine Resource Environmental Dynamical Monitoring Center, Dalian 116023, China
②.
Key Laboratory of Sea-Area Management Technology, State Oceanic Administration, Dalian 116023, China
③.
Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China

Funds: The National Key R&D Program of China (2016YFC1401007, 2017YFC1404902), The National Natural Science Foundation of China (41706195, 61273307), The National High Resolution Special Research (41-Y30B12-9001-14/16)

摘要

摘要: 高分三号作为我国首颗民用C波段多极化多成像模式SAR卫星，其全天时全天候观测特点，在国家海域使用动态监测中具有较大优势。该文在分析国家海域使用遥感监测的基础上，探讨GF-3号 SAR成像模式和标准预处理方式，并以海岸线围填海、海水养殖等典型海域使用要素为例，给出GF-3不同成像模式在海域使用要素识别分类的部分研究结果，并与现有方法进行对比分析，最后展望了进一步研究方向。
- 合成孔径雷达 /
- 高分三号 /
- 海域使用动态监测 /
- 海岸线 /
- 围填海 /
- 海水养殖
Abstract: GaoFen-3 (GF-3) is the first commercial C-Band multi-polarimetric Synthetic Aperture Radar (SAR) satellite that was launched by China. The characteristics observed by both all-day and all-weather observation depict significant advantages of national sea area use dynamic monitoring. We have thoroughly discussed both the imaging mode and the standard preprocessing of GF-3 imagery by analyzing national sea area use dynamic monitoring. We have portrayed reclamation and aquaculture as significant examples of dynamic monitoring. We have presented both identification and classification results using various image modes of GF-3 satellite, compared with the existing approaches. Finally, we have elaborated on the scope for future research.
- Synthetic Aperture Radar (SAR) /
- GF-3 /
- Marine area use dynamic monitor /
- Coastline /
- Reclamation /
- Floating raft aquaculture

HTML全文

图 1 海域使用动态监测示意图

Figure 1. Schematic diagram of sea-area use dynamic monitoring

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图 2 GF-3 SAR全国近岸海域数据覆盖情况

Figure 2. GF-3 SAR data coverage of coastal area of China

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图 3 GF-3 SAR围填海动态监测流程图

Figure 3. Dynamic monitoring process flow chart of reclamation in SAR image

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图 4 海口地区SAR影像基础原始岸线提取

Figure 4. The basic result of coastline extraction result of Haikou area

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图 5 根据处理流程进行SAR围填海信息提取

Figure 5. Coastline information extraction according to dynamic monitoring process

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图 6 金州湾2017年围填海专题图

Figure 6. Reclamation change thematic map of Jinzhou Bay in 2017

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图 7 浮筏养殖结构图

Figure 7. Remote sensing image of floating raft

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图 8 浮筏养殖遥感影像

Figure 8. Remote sensing image of floating raft

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图 9 浮筏养殖的极化散射机制示意图(①海水表面散射，②浮球表面散射，③海水浮球二面角散射，④海水浮球螺旋体散射，⑤水下表面散射，⑥水下体散射)

Figure 9. Schematic diagram of floating raft aquaculture scattering mechanism (① Scattering method of sea surface, ② Scattering method of floating raft, ③ Scattering method of dihedral caused by raft and sea surface, ④ Scattering method of helix structure, ⑤ Scattering method of surface under water, ⑥ Scattering method of body under water)

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图 10 日本明海区域海水养殖极化分解结果

Figure 10. Polar decomposition of floating raft aquaculture in Japan

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图 11 大连市浮筏养殖Yamaguchi极化分解结果

Figure 11. Yamaguchi polar decomposition of floating raft aquaculture in Dalian

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图 12 GF-3遥感影像数据切片情况

Figure 12. Imagery of GF-3 slices

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图 13 GF-3数据切片1结果图

Figure 13. Result based on GF-3 data slice 1

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图 14 GF-3数据切片2结果图

Figure 14. Result based on GF-3 data slice 2

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图 15 数据切片3处理结果

Figure 15. Result of data slice 3 experiment

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图 16 数据切片4处理结果

Figure 16. Result of data slice 4 experiment

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图 17 数据切片5处理结果

Figure 17. Result of data slice 5 experiment

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图 18 极化浮筏养殖识别结果(全极化模式Ⅰ)

Figure 18. Floating raft recognition result under full polarmetric mode Ⅰ

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图 19 UFS浮筏养殖识别结果(超精细条带模式)

Figure 19. Identification result of UFS floating raft

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表 1 GF-3卫星SAR数据属性信息

Table 1. Attribute information of SAR data on GF-3

序号	成像模式		分辨率(m)			成像幅宽(km)		入射角范围(°)	极化方式
序号	成像模式		标称	方位向	距离向	标称	范围	入射角范围(°)	极化方式
1	聚束		1	1.0～1.5	0.9～2.5	10×10	10×10	20～50	可选单极化
2	超精细条带		3	3	2.5～5.0	30	30	20～50	可选单极化
3	精细条带Ⅰ		5	5	4～6	50	50	19～50	可选双极化
4	精细条带Ⅱ		10	10	8～12	100	95～110	19～50	可选双极化
5	标准条带		25	25	15～30	130	95～150	17～50	可选双极化
6	窄幅扫描Ⅰ		50	50～60	30～60	300	300	17～50	可选双极化
7	窄幅扫描Ⅱ		100	100	50～110	500	500	17～50	可选双极化
8	全极化条带Ⅰ		8	8	6～9	30	20～35	20～41	全极化
9	全极化条带Ⅱ		25	25	15～30	40	35～50	20～38	全极化
10	波成像模式		10	10	8～12	5×5	5×5	20～41	全极化
11	全球观测成像模式		500	500	350～700	650	650	17～53	可选双极化
12	扩展入射角	低入射角	25	25	15～30	130	120～150	10～20	可选双极化
12	扩展入射角	高入射角	25	25	20～30	80	70～90	50～60	可选双极化

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表 2 精度评价结果

Table 2. The results of precision assessment

区域	RMSE波动范围(像素数)	位置相同像素点	位置不同像素点	准确率
大连金州湾	0.5～1.5	46	4	92%

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表 3 精度评价结果

Table 3. The results of precision assessment

区域	单极化聚类结果(%)	Yamaguchi极化特征聚类结果(%)	H/A/Alpha极化特征聚类结果(%)
区域1	71.33	78.69	62.28
区域2	71.54	79.17	61.31

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