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Earthquake monitoring for multi-temporal images of Ziyuan-3

机译:子元3号多时相影像的地震监测

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With frequent occurrence of earthquake disaster, earthquake monitoring becomes increasingly concerned. Global observing by optical remote sensing is an emerging technology widely applied in monitoring temporal changes of topography in earthquake. It provides advantages of large width of observation, fast data acquisition and high time effectiveness. This technique takes advantages of accurate image registration of pre-seismic and post-seismic to spot surface rupture zones. Therefore, the spatial alignment accuracy of multi temporal images becomes a problem that hinder the earthquake monitoring. Considering the adverse impact of different imaging angle, camera lens distortion and other factors on image registration, a new approach of high accurate registration based on constraining positioning consistency in rational function model (RFM) is proposed. Ziyuan3 images of Yutian country in Xinjiang are used to perform the earthquake monitoring experiment. After applying the proposed method, registration accuracy of pre-seismic and post-seismic images is better than 0.6 pixel; surface rupture zones caused by earthquake are acquired promptly.
机译:随着地震灾害的频繁发生,地震监测变得越来越重要。通过光学遥感进行全球观测是一种新兴技术,广泛应用于监测地震地形的时空变化。它具有宽阔的观测范围,快速的数据采集和高时间效率的优势。该技术利用了地震前和地震后到点表面破裂区域的精确图像配准的优势。因此,多时间图像的空间对准精度成为阻碍地震监测的问题。针对不同成像角度,相机镜头畸变等因素对图像配准的不利影响,提出了一种基于有理函数模型(RFM)约束定位一致性的高精度配准的新方法。新疆于田县子源3幅影像用于地震监测实验。应用该方法后,地震前和地震后图像的配准精度均优于0.6像素;及时获取地震造成的地表破裂带。

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