多频率InSAR提取沼泽湿地DEM精度对比分析

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。

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

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.