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Historical Photograph Orthorectification Using SfM for Land Cover Change Analysis
Journal of the Indian Society of Remote Sensing ( IF 2.2 ) Pub Date : 2019-12-14 , DOI: 10.1007/s12524-019-01082-7
Ruijin Ma , Michael Broadbent , Xiangwei Zhao

Historical photographs acquired early 1900s provide valuable baseline data for earth surface change analysis. However, orthorectifying such data faces great challenges due to relatively low radiometric quality, the difficulty in finding control points due to surface changes, and the lack of camera calibration information. This study developed a method to standardize the scanned photographs into a common camera model, and a workflow to perform block bundle adjustment in aerial triangulation using the structure from motion technology that calibrates cameras within the aerial triangulation solution. Orthophotograph and DSM were generated from the historical photographs. This could potentially push the quantitative analysis of land surface change several decades back before the modern remote sensing era. The stability of aerial triangulation solutions using structure from motion and the accuracy of the produced DSM and orthophotographs were evaluated.

中文翻译:

使用 SfM 进行土地覆盖变化分析的历史照片正射校正

1900 年代早期获得的历史照片为地球表面变化分析提供了宝贵的基线数据。然而,由于辐射质量相对较低、由于表面变化难以找到控制点以及缺乏相机校准信息,正射校正这些数据面临着巨大挑战。本研究开发了一种将扫描照片标准化为通用相机模型的方法,以及使用运动技术结构在空中三角测量中执行​​块束调整的工作流程,该结构在空中三角测量解决方案中校准相机。正射影像和 DSM 是从历史照片中生成的。这可能会在现代遥感时代之前的几十年推动对地表变化的定量分析。
更新日期:2019-12-14
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