从高分辨率立体图像和利用现有数据进行比较分析的摄影测量制图

Yangchen Pelmo, J. Tenzin, Dawa Tshering, Pema Tshedrup
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摘要

超高分辨率(VHR)传感器卫星的发射为进一步开发立体卫星图像的能力铺平了道路,用于许多应用,最重要的是提取地形细节。数字技术在摄影测量技术方面的进步提供了更准确和最新的地形表示,而传统的地形测绘方法耗时且需要大量的技术支持。本文探讨了高分辨率立体成像系统在提取地形图和生成数字高程模型(DEM)方面的生产方法和能力分析。本研究使用高分辨率GeoEye-1立体图像对。为了进行定性评估,地形特征通过对地理参考立体对图像进行数字化提取,并在Summit Evolution软件中重叠形成DEM和正射影像。利用实时运动学全球导航卫星系统(RTK-GNSS)技术建立的现有地面控制点(gcp)和检查点(CPs)进行地理参考。为了进行定量评估,共有7个现有的gcp被认为适合使用,并建立了5个cp以检查输出的准确性。通过计算均方根误差(RMSE)来评估CPs的准确性。左右图像的平均水平RMSE分别为1.17150098m和0.819334672m,垂直平均RMSE为1.605898565m。利用摄影测量技术生成的DEM与现有RTK-GNSS技术的高程数据进行高程数据标准差计算,分别得到15.91286667和16.59529228。通过比较使用立体卫星图像提取的数据和从地面测量技术(全站仪和RTK-GNSS)提取的数据的结果,对精度进行了评估。对比分析表明,立体图像对提供了一种可行的替代其他地面测绘技术,其结果在可接受的范围内。通过误差估计和分析,得出在采用严格的摄影测量处理模型和地面控制点的情况下,高分辨率卫星影像可用于地形图、DEM和数字正射影像的精确生成和更新,可进一步作为对比分析应用的参考。
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PHOTOGRAMMETRIC MAPPING FROM HIGH-RESOLUTION STEREO IMAGERY AND COMPARATIVE ANALYSIS USING EXISTING DATA
The launch of the very high resolution (VHR) sensor satellites has paved the way for further exploitation of the capabilities of stereo satellite imagery for many applications and most importantly in the extraction of topographical details. Advances in digital technologies in the photogrammetric technique provide more accurate and up to date topographic representation, while traditional methods of topographic mapping are time-consuming and require large technical support. This paper explores the methods of production and an analysis of the capabilities of the high-resolution stereo imaging system for the extraction of features (topographic map) and generation of digital elevation model (DEM). This study uses high-resolution GeoEye-1 stereo pair images. For qualitative assessment, topographic features were extracted by digitizing the georeferenced stereo pair images and overlapped to form a DEM and orthophoto within the Summit Evolution software. Georeferencing was carried out using the existing Ground Control Points (GCPs) and Check Points (CPs) established using Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS) technique. For quantitative assessment, a total of 7 existing GCPs were considered suitable for use and 5 CPs were established as a check for accuracy of the output. The accuracy of the CPs was evaluated by computing Root Mean Square Error (RMSE). The average horizontal RMSE for the left image and right image were 1.17150098m and 0.819334672m respectively and the average vertical RMSE was 1.605898565m. Additionally, the standard deviation for elevation data from generated DEM using photogrammetric technique and existing elevation data of RTK-GNSS technique were computed, which resulted in 15.91286667 and 16.59529228 respectively. The accuracy was evaluated by comparing the results of the data extracted using stereo satellite images and those extracted from ground measurement techniques (Total station and RTK-GNSS). The comparative analysis showed that stereo pair images provide a viable alternative to other ground mapping techniques providing results within the acceptable range. Based on error estimation and analysis, it concludes that, if strict photogrammetric processing model and ground control points are employed, high-resolution satellite imagery can be used for the accurate generation and update of the topographic maps, DEM and digital orthophotos, which can be further be used as a reference for comparative analysis applications.
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