GF-3号SAR卫星遥感围填海监测方法研究——以大连金州湾为例
Marine reclamation monitoring approach research based on GF-3 remote sensing image: A case study of the Jinzhou Bay in Dalian
范剑超 1姜大伟 2赵建华 1初佳兰 1谢春华 3安文韬 3黄凤荣4
作者信息
- 1. 国家海洋环境监测中心, 辽宁 大连 116023
- 2. 国家海洋环境监测中心, 辽宁 大连 116023;辽宁师范大学 城市与环境学院, 辽宁 大连 116029
- 3. 国家卫星海洋应用中心, 北京 100081
- 4. 辽宁师范大学 城市与环境学院, 辽宁 大连 116029
- 折叠
摘要
依据不同围填海类型在高分三号(GF-3)合成孔径雷达(synthetic aperture radar, SAR)卫星遥感影像上可分性, 建立围填海遥感分类体系及相应的围填海类型解译标志, 进而分析SAR图像岸线提取方法, 构建GF-3围填海监测技术流程.采用几何主动轮廓模型进行GF-3 SAR影像自动提取海岸线, 获得围填海专题图.通过外业精度调查验证GF-3 SAR卫星遥感影像可以有效获取围填海信息.
Abstract
GF-3 (Gaofen-3) is the first earth observation satellite to be equipped with a full polarimetric synthetic aperture radar (SAR) imaging sensor, which provides the capability for dynamic national marine monitoring. Based on the separability of the reclamation categories in SAR images, in this study, we establish a land reclamation clas-sification system and interpret marks associated with the corresponding reclamation categories. In addition, we ap-ply and analyze various coastline extraction approaches with respect to SAR imagery and establish a flowchart for the reclamation monitoring process. We adopt the geometric active contour model to automatically extract the coastline from GF-3 SAR imagery and use reclamation-change range information to generate a thematic map for GF-3 SAR images. Our field survey results demonstrate that GF-3 SAR remote sensing imagery can be effectively used to obtain reclamation information.
关键词
合成孔径雷达(SAR)/解译标志/几何主动轮廓模型/高分三号(GF-3)卫星Key words
synthetic aperture radar/interpretation mark/geometric active contour model/GF-3 (Gaofen-3)引用本文复制引用
基金项目
国家重点研发计划(2017YFC1404902)
国家重点研发计划(2016YFC1401007)
国家自然科学基金(41706195)
国家自然科学基金(61273307)
国家高分重大科研专项(41-Y30B12-9001-14/16)
出版年
2017
国家科技期刊平台
NSTL
维普
万方数据