Pleiades -1A和Spot-6卫星图像不同几何校正方法的综合分析

IF 3.1 Q2 ENGINEERING, GEOLOGICAL International Journal of Engineering and Geosciences Pub Date : 2022-05-14 DOI:10.26833/ijeg.1086861
Buğrahan Özci̇han, Levent Doğukan Özlü, Mümin İlker Karakap, Halime Sürmeli̇, U. Alganci, Elif Sertel
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引用次数: 0

摘要

卫星图像已广泛应用于土地利用和土地覆盖测绘等地理空间信息的制作,以及通过图像处理生成若干专题层。各种卫星平台上的传感器获取的图像受到系统传感器和平台引起的几何误差的影响。因此,卫星图像的几何校正是图像预处理中提取准确可靠的位置信息的重要步骤。利用经验模型和物理模型对Pleiades 1A (PHR)和SPOT-6两颗不同卫星获得的卫星图像进行几何校正。在此范围内使用了二维多项式模型、三维有理函数模型和基于gcp计算的RPC、三维有理函数模型和基于卫星的RPC、基于gcp的RPC细化模型以及Toutin的物理模型。通过实验研究了GCP参考数据源、GCP数量和分布、DEM源、空间分辨率和模型等参数对几何校正过程性能的影响。我们的研究结果表明,使用PHR和SPOT数据提供者的RPC,然后使用PHR的RPC细化方法和SPOT的Toutin方法,可以获得较低的RMSE值。总体而言,来自HGM数据源的gcp和ALOS DEM组合提供了更好的结果。最后,除了单次测试外,PHR图像的RMSE值更低,因此定位精度更高。
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A comprehensive analysis of different geometric correction methods for Pleiades -1A and Spot-6 satellite images
Satellite images have been widely used in the production of geospatial information such as land use and land cover mapping, as well as the generation of several thematic layers via image processing. Images acquired by sensors onboard various satellite platforms are influenced by systematic sensor and platform-induced geometry errors. Thus, geometric correction of satellite images is an important step of image pre-processing to extract accurate and reliable locational information. Geometric correction of satellite images obtained from two different satellites, Pleiades 1A (PHR) and SPOT-6, was performed within the scope of this study using empirical models and a physical model. The 2D polynomial model, 3D rational function model with calculated RPCs from GCPs, 3D rational function model with RPCs from satellite, RPC refinement model using GCPs, and Toutin's physical model were used within this scope. Several experiments were carried out to investigate the effects of various parameters on the performance of the geometric correction procedure, such as GCP reference data source, GCP number and distribution, DEM source, spatial resolution, and model. Our results showed that lower RMSE values can be achieved with the model that uses RPC from data providers for PHR and SPOT that is followed by the RPC refinement method for PHR and Toutin method for SPOT. In general, GCPs from the HGM data source and ALOS DEM combination provided better results. Lastly, lower RMSE values, thus better locational accuracies are observed with PHR image except for single test.
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来源期刊
CiteScore
4.00
自引率
0.00%
发文量
12
审稿时长
30 weeks
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