利用高分辨率TSX/TDX交轨干涉测量技术探测渤海浮冰信息

doi:10.13474/j.cnki.11-2246.2018.0210

测绘通报 ›› 2018, Vol. 0 ›› Issue (7): 58-61.doi: 10.13474/j.cnki.11-2246.2018.0210

利用高分辨率TSX/TDX交轨干涉测量技术探测渤海浮冰信息

王志勇^1,2, 张晰³, 王士帅⁴

1. 山东科技大学测绘科学与工程学院, 山东青岛 266590;
2. 海岛(礁)测绘技术国家测绘地理信息局重点实验室, 山东青岛 266590;
3. 国家海洋局第一海洋研究所, 山东青岛 266061;
4. 北京航天宏图信息技术股份有限公司, 北京 100195

收稿日期:2017-08-28 修回日期:2018-04-18 出版日期:2018-07-25 发布日期:2018-08-02
作者简介:王志勇(1978-),男,博士,副教授,现从事雷达干涉测量、微波海洋遥感等方面的研究。E-mail:wzywlp@163.com
基金资助:
山东省自然科学基金（ZR2017MD020）；海岛（礁）测绘技术国家测绘地理信息局重点实验室开放基金（2015B05）

Monitoring the Freeboard of the Drift Ice in the Bohai Sea Using the Cross-InSAR Technique with High-resolution TSX/TDX Data

WANG Zhiyong^1,2, ZHANG Xi³, WANG Shishuai⁴

1. College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China;
2. Key Laboratory of Surveying and Mapping Technology on Island and Reef, National Administration of Surveying, Mapping and Geoinformation, Qingdao 266590, China;
3. The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;
4. Beijing Piesat Information Technology Co. Ltd., Beijing 100195, China

Received:2017-08-28 Revised:2018-04-18 Online:2018-07-25 Published:2018-08-02

摘要/Abstract

摘要： 利用合成孔径雷达交轨干涉测量技术对中国渤海东北部的海上浮冰的海冰冰弦高进行了探测。阐述了交轨雷达干涉测量进行海冰探测的基本原理及数据处理流程，首次利用高分辨率的TerraSAR-X和TanDEM-X卫星（简称TSX/TDX）交轨干涉数据进行InSAR海上浮冰探测，提出了一种利用交轨干涉相位进行海上浮冰冰舷高（即海冰出水高度）反演的方法，以海水面作为基准面，基于干涉相位获取了海上浮冰的冰舷高，进而基于静力学平衡公式反演了浮冰的厚度信息。通过试验可以得到，在该试验区，海洋浮冰的冰舷高一般在1.01～3.06 cm，平均冰舷高厚度为2.376 cm。试验证明，交轨干涉测量技术是进行海上浮冰厚度反演的一种有效的技术手段。

关键词: 雷达干涉测量, 海冰探测, 交轨干涉测量, 冰舷高

Abstract: The cross-track interferometry with high-resolution TSX/TDX data was used to detect the freeboard of the drift ice in the Bohai sea.The principle and data processing of measuring the sea ice using the cross-track InSAR were presented.Then the TSX/TDX cross-track interferometric data with high resolution were used to detect the drift ice in Bohai.A sea ice retrieval algorithm through the use of the phase information from the cross-track InSAR technique.Taking the surface of the sea lead as a reference surface,the sea ice freeboard was retrieved from the interferometric phase.Through the test,we found that the freeboard of drift ice in the Bohai sea range from 1.01 cm to 3.06 cm.And the average thickness was 2.376 cm.The experimental results show that the cross-track InSAR technique with high resolution is an effective means to retrieve the freeboard of the sea ice.

Key words: InSAR, sea ice monitoring, cross-track InSAR, freeboard

中图分类号:

P229

王志勇, 张晰, 王士帅. 利用高分辨率TSX/TDX交轨干涉测量技术探测渤海浮冰信息[J]. 测绘通报, 2018, 0(7): 58-61.

WANG Zhiyong, ZHANG Xi, WANG Shishuai. Monitoring the Freeboard of the Drift Ice in the Bohai Sea Using the Cross-InSAR Technique with High-resolution TSX/TDX Data[J]. 测绘通报, 2018, 0(7): 58-61.

参考文献

[1] 张晰,张杰,孟俊敏,等.基于极化散射特征的极化合成孔径雷达海冰分类方法研究:以渤海海冰分类为例[J].海洋学报,2013,35(5):95-101.
[2] ZHANG X,ZHANG J,MENG J M,et al.Analysis of Multi-dimensional SAR for Determining the Thickness of Thin Sea Ice in the Bohai Sea[J].Chinese Journal of Oceanology and Limnology,2013,31(3):681-698.
[3] DIERKING W.Mapping of Different Sea Ice Regimes Using Images from Sentinel-1 and ALOS Synthetic Aperture Radar[J].IEEE Transactions on Geoscience and Remote Sensing,2010,48(3):1045-1058.
[4] 杨学志,刘灿俊,吴克伟,等.SRRG-MRF的SAR海冰图像分割算法[J].遥感学报,2014,18(6):1247-1257.
[5] RESSEL R,FROST A,LEHNER S.A Neural Network-Based Classification for Sea Ice Types on X-Band SAR Images[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2015,8(7):3672-3680.
[6] LIU H Y,GUO H D,ZHANG L.SVM-based Sea Ice Classification Using Texural Features and Concentration from RADARSAT-2 Dual-Pol ScanSAR Data[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2015,8(4):1601-1613.
[7] KARVONEN J.Baltic Sea Ice Concentration Estimation Based on C-band Dual-polarized SAR Data[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52(9):5558-5566.
[8] 赵争.地形复杂区域InSAR高精度DEM提取方法[J].测绘学报,2016,45(11):1385-1392.
[9] 朱建军,李志伟,胡俊.InSAR变形监测方法与研究进展[J].测绘学报,2017,46(10):1717-1733.
[10] MEYER F J,MAHONEY A R,EICKEN H,et al.Mapping Arctic Landfast Ice Extent Using L-band Synthetic Aperture Radar Interferometry[J].Remote Sensing of Environment,2011(115):3029-3043.
[11] MARBOUTI M,PRAKS J,ANTROPOV O,et al.A Study of Landfast Ice with Sentinel-1 Repeat-pass Interferometry over the Baltic Sea[J].Remote Sensing,2017,9(8):833-849.
[12] BERG A,DAMMERT P,ERIKSSON L E B.X-band Interferometric SAR Observations of Baltic Fast Ice[J].IEEE Transactions on Geoscience and Remote Sensing,2015,53(3):1248-1256.
[13] KAHLE R,RUNGE H,ARDAENS J S,et al.Formation Flying for Along-track Interferometric Oceanography-First In-flight Demonstration with TanDEM-X[J].Acta Astronautica,2014,99:130-142.
[14] 孙亚飞,江利明,柳林,等.TanDEM-X双站SAR干涉测量及研究进展[J].国土资源遥感,2015,27(1):16-22.
[15] DAMMERT P B G,LEPPARANTA M,ASKNE J.SAR Interferometry over Baltic Sea Ice[J].International Journal of Remote Sensing,1998,19(16):3019-3037.
[16] 王志勇,张继贤,黄国满.InSAR技术在海岛(礁)测量中的应用[J].测绘通报,2013(9):101-104.
[17] 陈国栋,李建成,褚永海,等.利用ICESat数据确定北冰洋海冰出水高度——以2005-2006年为例[J].测绘学报,2015,44(4):625-633.
[18] 周春霞,鄂栋臣,廖明生.InSAR用于南极测图的可行性研究[J].武汉大学学报(信息科学版),2004,29(7):619-623.
[19] 徐永生,高乐,张云华.美国新一代测高卫星SWOT——评述我国宽刈幅干涉卫星的发展借鉴[J].遥感技术与应用,2017,32(1):84-94.

利用高分辨率TSX/TDX交轨干涉测量技术探测渤海浮冰信息

Monitoring the Freeboard of the Drift Ice in the Bohai Sea Using the Cross-InSAR Technique with High-resolution TSX/TDX Data

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 13

编辑推荐

Metrics

本文评价

[1]	杨映新, 洪武胜, 吴曼乔. 利用Sentinel-1影像监测土地回填导致的地表形变[J]. 测绘通报, 2021, 0(6): 67-70.
[2]	何正枫, 张继贤, 黄国满, 盛辉军. 尼泊尔Mw7.8地震对珠峰区域内冰川形变及流速的影响[J]. 测绘通报, 2021, 0(5): 43-48,101.
[3]	孙玉铮, 谢先明, 梁小星. 一种容积信息滤波局部迭代相位解缠方法[J]. 测绘通报, 2021, 0(2): 40-43.
[4]	洪兆阳, 金双根. 利用时序PS-InSAR监测青藏高原冻土区地表形变[J]. 测绘通报, 2021, 0(1): 35-40.
[5]	杨振, 徐佳. 利用Sentinel-1A数据监测南京河西地区地面沉降[J]. 测绘通报, 2020, 0(1): 61-65,75.
[6]	陈露璐, 李陶, 刘艳, 刘经南. 特高压输电铁塔聚束模式SAR干涉特性研究与覆冰试验[J]. 测绘通报, 2019, 0(12): 30-34.
[7]	付波霖, 耿仁方, 李颖, 高二涛, 范冬林. 多频率InSAR提取沼泽湿地DEM精度对比分析[J]. 测绘通报, 2019, 0(10): 1-7.
[8]	王鹏, 邢诚, 项霞. 地基干涉雷达IBIS-S桥跨结构振动变形测量与模态分析[J]. 测绘通报, 2019, 0(10): 35-39.
[9]	陈磊, 赵学胜. 结合InSAR的矿区大梯度变形监测技术进展[J]. 测绘通报, 2018, 0(7): 18-23.
[10]	陈志谋, 胡波, 陈金座, 罗楚楚, 张华鹏, 姚俊启, 陈进清. 利用InSAR技术监测石油开采引起的地表形变[J]. 测绘通报, 2017, 0(11): 42-46.
[11]	徐进军, 廖骅, 韩达光, 邢诚. 大跨度桥梁桥面线形测量新方法[J]. 测绘通报, 2016, 0(1): 91-94.
[12]	王琪. 利用永久散射体雷达干涉技术进行太原市地面沉降监测[J]. 测绘通报, 2014, 0(5): 71-75.
[13]	王志勇张继贤黄国满. InSAR技术在海岛礁测量中的应用[J]. 测绘通报, 2013, 0(9): 101-104.