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Assessment of the Spatial Co-registration of Multitemporal Imagery from Large Format Digital Cameras in the Context of Detailed Change Detection

机译:在详细变化检测的背景下评估大型数码相机的多时间图像的空间共配准

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摘要

Large format digital camera (LFDC) systems are becoming more broadly available and regularly collect image data over large areas. Spectral and radiometric attributes of imagery from LFDC systems make this type of image data appropriate for semi-automated change detection. However, achieving accurate spatial co-registration between multitemporal image sets is necessary for semi-automated change detection. This study investigates the accuracy of co-registration between multitemporal image sets acquired using the Leica Geosystems ADS40, Intergraph Z/I Imaging® DMC, and Vexcel UltraCam-D sensors in areas of gentle, moderate, and extreme terrain relief. Custom image sets were collected and orthorectified by imagery vendors, with guidance from the authors. Results indicate that imagery acquired by vendors operating LFDC systems may be co- registered with pixel or sub-pixel level accuracy, even for environments with high terrain relief. Specific image acquisition and processing procedures facilitating this level of co- registration are discussed.
机译:大型数码相机(LFDC)系统正变得越来越广泛,并定期在大面积上收集图像数据。来自LFDC系统的影像的光谱和辐射度属性使此类影像数据适合于半自动变化检测。但是,对于半自动更改检测,需要在多时间图像集之间实现准确的空间共配准。这项研究调查了在平缓,中度和极端地形起伏区域中使用Leica Geosystems ADS40,Intergraph Z / IImaging®DMC和Vexcel UltraCam-D传感器采集的多时间图像集之间的共配准精度。在作者的指导下,图像供应商收集并矫正了自定义图像集。结果表明,即使对于地形起伏较大的环境,由运营LFDC系统的供应商获取的图像也可能与像素或亚像素级别的精度一起注册。讨论了促进这种共配准的特定图像获取和处理过程。

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