星载差分摄影测量用于大梯度形变无控制点测量：结构免疫性与可预测精度包络
Spaceborne differential photogrammetry for control-free measurement of large-gradient deformation with structural immunity and a predictable accuracy envelope
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中文总结 AI 辅助
该研究提出星载差分摄影测量框架，无需地面控制点即可测量大梯度形变，通过先验约束和误差预算实现高精度，并验证于地震和冰川案例。
中文摘要 AI 辅助
光学卫星图像相关法在相干干涉合成孔径雷达因位移梯度过大而失效的情况下，可测量广域形变。然而，标准成对工作流程缺乏采集前误差预算，并依赖大面积稳定地形。我们将重复轨道光学相关表述为一个无需测量地面控制点的差分估计问题。名义地理参考定义坐标框架，稳定区域约束和位移先验解决基准问题，地表位移与历元间重访偏差系数联合估计。该模型提供预测精度包络和校准的逐点后验不确定性，通过位移先验约束沿轨不确定性，并使用逐行重访偏移表示推扫抖动。基于2019年里奇克莱斯特地震、2023年卡赫拉曼马拉什地震和巴尔托罗冰川的模拟及Sentinel-2和WorldView-2实验，验证了预测噪声底、无控制点精度余量以及由视角和数字高程模型误差引起的泄漏。实测噪声底在10米地面采样距离下约为0.05像素。仅使用五个稳定瓦片，传统去条纹方法将巴尔托罗主干流速估计从106米/年改变为1251米/年，而先验约束估计保持为87米/年。闭合分析将约88%的成对误差方差归因于单个场景，与25354个ITS_LIVE冰川速度三元组一致。三种匹配方法得出相同结论。因此，该框架将成对相关转变为具有预测误差预算、减少对稳定地形依赖且结论独立于匹配方法的稳健测量。
英文摘要
Optical satellite image correlation measures wide-area deformation in regimes where coherent interferometric synthetic aperture radar fails because displacement gradients are too large. However, standard pairwise workflows lack a pre-acquisition error budget and rely on extensive stable terrain. We formulate repeat-pass optical correlation as a differential estimation problem without surveyed ground control. Nominal georeferencing defines the coordinate frame, stable-area constraints and displacement priors resolve the datum, and surface displacement is estimated jointly with inter-epoch revisit-bias coefficients. The model yields a predictive accuracy envelope and calibrated per-point posterior uncertainty, bounds along-track uncertainty through a displacement prior, and represents pushbroom jitter using per-line revisit offsets. Simulations and Sentinel-2 and WorldView-2 experiments on the 2019 Ridgecrest earthquake, the 2023 Kahramanmaraş earthquake, and the Baltoro glacier validate the predicted noise floor, control-free accuracy margin, and leakage caused by view-angle and digital elevation model errors. The measured noise floor reaches approximately $0.05$ pixel at $10$,m ground sampling distance. With only five stable tiles, conventional destriping changes the estimated Baltoro trunk velocity from $106$ to $1251$myr$^{-1}$, whereas the prior-constrained estimate remains $87$myr$^{-1}$. Closure analysis attributes approximately $88\%$ of pair-error variance to individual scenes, consistent with $25{,}354$ ITS_LIVE glacier-velocity triplets. Three matching methods lead to the same conclusions. The framework therefore turns pairwise correlation into a robust measurement with a predictive error budget, reduced dependence on stable terrain, and conclusions independent of the matching method.
发表机构
- Shenzhen University（深圳大学）
- Hunan University（湖南大学）
机构由 AI 辅助整理，请以论文原文为准。
