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Evaluation of cartosat-1 satellite triangulation & DSMs in varied terrain conditions

机译:在不同地形条件下评估cartosat-1卫星三角测量和DSM

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Digital surface models (DSMs) and Digital elevation models (DEMs) has become inevitable input for many applications including various types of modeling problems besides photogrammetric product generation such as orthoimages and visualization. Automatically generated DSMs using image matching techniques are an efficient means to extract bare earth DEMs or DTMs for various applications including modeling. This paper highlights and evaluates the accuracy of satellite triangulation, and DEM generated from Cartosat-1 data by using Rational Polynomial Coefficient's (RPC's) provided with the Cartosat-1 data along with ground control points (GCPs) collected through differential Global Positioning System (DGPS) surveys. Three study sites were taken for evaluation of DSMs in different topographic conditions, namely, a) Dehradun, Uttarakhand characterized by relatively high undulating terrain comprising of shivalik hills in the south and higher Himalayas on the north, b) Jaipur, Rajasthan having more of urban and plain agriculture area with Aravalli ranges, and c) Kendrapara, Orissa which is having a plain terrain conditions with agriculture fields, river, and sparsely populated area. DGPS surveys were conducted at the three sites to collect ground control points (GCPs) for satellite triangulation & subsequent analysis. The satellite triangulation resulted in RMSE of better than a pixel for all the three sites. The RMSE for DEM is varying from within a pixel for plain area to about four pixels for highly undulating terrain. The paper describes the positional and vertical accuracies achieved for cartosat-1 stereo data through photogrammetric process of satellite triangulation and Digital surface model generation in the three study sites having different topographic conditions.
机译:数字表面模型(DSM)和数字高程模型(DEM)已成为许多应用的必然输入,除了摄影测量产品的生成(如正射影像和可视化)外,还包括各种类型的建模问题。使用图像匹配技术自动生成的DSM是为各种应用(包括建模)提取裸露DEM或DTM的有效方法。本文重点介绍并评估了卫星三角剖分的准确性以及通过使用Cartosat-1数据附带的有理多项式系数(RPC)以及通过差分全球定位系统(DGPS)收集的地面控制点(GCP)从Cartosat-1数据生成的DEM。 ) 调查。选取了三个研究地点来评估不同地形条件下的DSM,即a)北阿坎德邦的Dehradun,其起伏较大,地形包括南部的shivalik丘陵和北部的喜马拉雅山,b)斋浦尔,拉贾斯坦邦的城市较多以及Aravalli山脉的平原农业地区,以及c)奥里萨邦的肯德拉帕拉(Kendrapara),地势平坦,农业田野,河流和人烟稀少的地区。在这三个地点进行了DGPS调查,以收集地面控制点(GCP),以进行卫星三角测量和后续分析。卫星三角剖分导致三个地点的RMSE均好于一个像素。 DEM的RMSE从平原区域的一个像素到高起伏地形的大约四个像素不等。本文介绍了在具有不同地形条件的三个研究地点中,通过卫星三角测量的摄影测量过程和数字表面模型的生成,对cartosat-1立体声数据实现的位置和垂直精度。

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