考虑定向参数精度信息的TerraSAR-X和SPOT-5HRS影像RFM联合定位
发布时间：2019-04-17 21:13
【摘要】：卫星影像的RFM模型具有传感器无关的优点,适用于多源影像的几何定位处理,但在无地面控制点条件下联合定位时存在自主定位优势影像难以发挥主导作用且求解易发散的不足。本文通过将影像的先验自主定位精度和成像线性漂移转化为像方定向参数的精度和权信息,建立考虑影像定向参数精度信息的RFM模型。以12景TerraSAR-X和6对12景覆盖面积约为18万km2的SPOT-5HRS立体长条带影像为数据源,对两类影像定向参数先验精度配置偏差、SAR影像升降轨道方向、SAR影像数目、SAR影像分布等因素对定位精度的影响进行了系列定位试验,少量SAR与大范围HRS联合的影像自主定位平面/高程精度可达6.0m/4.2m。本文RFM平差模型无地面控制点定位精度和定向参数求解稳健性相对于传统模型有显著提升,是卫星影像无控制点1∶10万/1∶5万全球测图的一种潜在方法。
[Abstract]:The RFM model of satellite images has the advantages of sensor-independent, which is suitable for geometric location processing of multi-source images. However, in the absence of ground control points (GCPs), the dominant image of autonomous positioning is difficult to play a dominant role in joint positioning, and the solution is easy to diverge. By transforming the prior autonomous positioning accuracy and the linear drift of the image into the accuracy and weight information of the orientation parameters of the image, a RFM model considering the precision information of the orientation parameters of the image is established in this paper. Taking 12-scene TerraSAR-X and 6 pairs of SPOT-5HRS long strip images covering about one hundred and eighty thousand km2 as the data source, the prior accuracy deviation of the two types of image orientation parameters, the rise-and-fall orbit direction of SAR images and the number of SAR images, are used as data sources for the two types of image orientation parameters. The influence of SAR image distribution and other factors on the positioning accuracy has been carried out in a series of positioning experiments. The autonomous positioning plane / elevation accuracy of a small amount of SAR combined with a large range of HRS images can reach 6.0 m / m 路m ~ (- 1). In this paper, the accuracy of positioning without ground control points and the robustness of orientation parameters of the RFM adjustment model are significantly improved compared with the traditional model. It is a potential method for global mapping of satellite images without control points 1: one hundred thousand / 1: 50 000.
【作者单位】： 中国测绘科学研究院;
【基金】：国土资源部公益行业科研专项(201411119-2)~~
【分类号】：P237
，
本文编号：2459792
[Abstract]:The RFM model of satellite images has the advantages of sensor-independent, which is suitable for geometric location processing of multi-source images. However, in the absence of ground control points (GCPs), the dominant image of autonomous positioning is difficult to play a dominant role in joint positioning, and the solution is easy to diverge. By transforming the prior autonomous positioning accuracy and the linear drift of the image into the accuracy and weight information of the orientation parameters of the image, a RFM model considering the precision information of the orientation parameters of the image is established in this paper. Taking 12-scene TerraSAR-X and 6 pairs of SPOT-5HRS long strip images covering about one hundred and eighty thousand km2 as the data source, the prior accuracy deviation of the two types of image orientation parameters, the rise-and-fall orbit direction of SAR images and the number of SAR images, are used as data sources for the two types of image orientation parameters. The influence of SAR image distribution and other factors on the positioning accuracy has been carried out in a series of positioning experiments. The autonomous positioning plane / elevation accuracy of a small amount of SAR combined with a large range of HRS images can reach 6.0 m / m 路m ~ (- 1). In this paper, the accuracy of positioning without ground control points and the robustness of orientation parameters of the RFM adjustment model are significantly improved compared with the traditional model. It is a potential method for global mapping of satellite images without control points 1: one hundred thousand / 1: 50 000.
【作者单位】： 中国测绘科学研究院;
【基金】：国土资源部公益行业科研专项(201411119-2)~~
【分类号】：P237
，
本文编号：2459792
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