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

作　　者：范剑超[1] 姜大伟[1,2] 赵建华[1] 初佳兰[1] 谢春华[3] 安文韬 黄凤荣[2] FAN Jian-chao;JIANG Da-wei;ZHAO Jian-hua;CHU Jia-lan;XIE Chun-hua;AN Wen-tao;HUANG Feng-rong(National Marine Environmental Monitoring Center,Dalian 116023,China;China School of Urban Environment,Liaoning Normal University,Dalian 116029,China;National Satellite Ocean Application Service,Beijing 100081,China)

机构地区：[1]国家海洋环境监测中心,辽宁大连116023 [2]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

出　　处：《海洋科学》2017年第12期60-65,共6页Marine Sciences

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

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。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 classification system and interpret marks associated with the corresponding reclamation categories.In addition,we apply 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 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]