测绘通报 ›› 2019, Vol. 0 ›› Issue (10): 1-7.doi: 10.13474/j.cnki.11-2246.2019.0308

• 自然资源监测 •    下一篇

多频率InSAR提取沼泽湿地DEM精度对比分析

付波霖1,2, 耿仁方2, 李颖3, 高二涛1,2, 范冬林1,2   

  1. 1. 桂林理工大学测绘地理信息学院, 广西 桂林 541004;
    2. 南京信息工程大学遥感与测绘工程学院, 江苏 南京 210044;
    3. 中国科学院东北地理与农业生态研究所, 吉林 长春 130102
  • 收稿日期:2019-03-27 出版日期:2019-10-25 发布日期:2019-10-26
  • 通讯作者: 耿仁方。E-mail:gut_gis2015_grf@163.com E-mail:gut_gis2015_grf@163.com
  • 作者简介:付波霖(1988-),男,博士,讲师,研究方向为湿地主被动遥感。E-mail:fbl2012@126.com
  • 基金资助:
    国家自然科学基金(41801071);广西自然科学基金(2018GXNSFBA281015);桂林理工大学科研启动基金(GUTQDJJ2017096);广西八桂学者团队“专项经费资助”

Study on accuracy assessment of DEM in the marsh wetland using multi-frequency InSAR

FU Bolin1,2, GENG Renfang2, LI Ying3, GAO Ertao1,2, FAN Donglin1,2   

  1. 1. College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China;
    2. School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;
    3. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
  • Received:2019-03-27 Online:2019-10-25 Published:2019-10-26

摘要: 选取3种波长的干涉SAR数据对提取沼泽湿地区域的DEM,并随机从1:10 000地形图中选取111个点数据进行精度验证,最后对比分析了沼泽湿地植被对于不同SAR波长的干涉相干性差异。结果表明:L-band ALOS-1 PALSAR精细模式的HH单视复数数据与1:10 000地形图数据吻合度较好,76.58%的高程值差异在3 m以内,其相干系数比C-band Sentinel-1A IW模式的VV单视复数数据和X-band TerraSAR HH单视复数数据要高;更适合利用雷达干涉测量技术提取沼泽湿地的DEM;不同湿地植被类型的相干系数有较大差异,岛状林和灌草结合的湿地植被分布区相干系数值较大,而浅水沼泽植被区和深水沼泽植被区相对较低。

关键词: 合成孔径雷达干涉测量, 数字高程模型, 沼泽湿地, 精度验证, 干涉相干性差异

Abstract: In this paper, the interferometric SAR data of three wavelengths are selected to extract the DEM of the marsh wetland area, and 111 points of data are randomly selected from the 1:10 000 topographic map for accuracy verification. Finally, the interference coherence difference of the swamp wetland vegetation for different SAR wavelengths is compared and analyzed. The results show that the ALOS-1 PALSAR images (L-band, HH) are in good agreement with the 1:10 000 topographic map data, and the difference of elevation value of 76.58% is within 3 meters, and its coherence coefficient is also higher than that of Sentinel-1A images (C-band, VV, IW model) and TerraSAR images (X-band, HH). So, it's more suitable to extract DEM of swamp wetland by radar interferometry. The coherence coefficient of different wetland vegetation types is also quite different. The distribution area of forest and shrub-grass vegetation has a larger coherence coefficient, while the shallow-water marsh vegetation area and deep-water marsh vegetation area are relatively low.

Key words: InSAR, DEM, marsh wetland, accuracy verification, interference coherence difference

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