Wang Rui, Chai Huiming, Guo Bin, Zhang Li, Lv Xiaolei
Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100090, China.
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Sensors (Basel). 2022 Apr 16;22(8):3075. doi: 10.3390/s22083075.
The lack and uneven distribution of Ground Control Points (GCPs) will lead to the deterioration of Digital Elevation Model (DEM) block adjustment results in the bistatic Interferometric Synthetic Aperture Radar (InSAR) system. Given this issue, we first explain the relationship between the stability of adjustment parameters and the GCP distribution pattern theoretically using matrix perturbation theory. Second, we put forward the Constraint Slices (CSs) concept and first introduce CSs into the adjustment optimization model as constraint conditions rather than actual values as GCPs. Finally, we propose a novel DEM block adjustment method for spaceborne InSAR using CSs based on an optimization model with nonlinear constraints. The simulated experiment shows the instability of the conventional method and validates the proposed method under different parallel baseline errors. Four groups of real experiments were carried out according to the size of the uncontrolled area using twelve Co-registered Single-look Slant-range Complex (CoSSC) datasets for Henan Province, China. The adjustment results verified by the ICESat-2 ATL08 data demonstrate that the performance of the proposed method is better than the conventional method in the uncontrolled area; the corresponding improvements in adjustment accuracies compared with the conventional method are 0.13 m, 1.02 m, 2.12 m, and 8.18 m, respectively. At the same time, the proposed method can enhance the height consistency in overlapping areas, which is vital for seamless DEM production.
地面控制点(GCP)的缺乏和分布不均会导致双基地干涉合成孔径雷达(InSAR)系统中数字高程模型(DEM)区域平差结果的恶化。针对这一问题,我们首先利用矩阵摄动理论从理论上解释了平差参数稳定性与GCP分布模式之间的关系。其次,我们提出了约束切片(CS)的概念,并首次将CS作为约束条件引入到平差优化模型中,而不是像GCP那样作为实际值。最后,我们基于具有非线性约束的优化模型,提出了一种利用CS的星载InSAR的新型DEM区域平差方法。模拟实验表明了传统方法的不稳定性,并验证了所提方法在不同平行基线误差下的有效性。利用中国河南省的12组共注册单视斜距复数(CoSSC)数据集,根据无控区域的大小进行了四组真实实验。经ICESat-2 ATL08数据验证的平差结果表明,所提方法在无控区域的性能优于传统方法;与传统方法相比,平差精度的相应提高分别为0.13 m、1.02 m、2.12 m和8.18 m。同时,所提方法可以提高重叠区域的高度一致性,这对于无缝DEM生产至关重要。