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Exterior orientation of CBERS-2B imagery using multi-feature control and orbital data

机译:利用多特征控制和轨道数据对CBERS-2B影像进行外部定位

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The major contribution of this paper relates to the practical advantages of combining Ground Control Points (GCPs), Ground Control Lines (GCLs) and orbital data to estimate the exterior orientation parameters of images collected by CBERS-2B (China-Brazil Earth Resources Satellite) HRC (High-resolution Camera) and CCD (High-resolution CCD Camera) sensors. Although the CBERS-2B is no longer operational, its images are still being used in Brazil, and the next generations of the CBERS satellite will have sensors with similar technical features, which motivates the study presented in this paper. The mathematical models that relate the object and image spaces are based on collinearity (for points) and coplanarity (for lines) conditions. These models were created in an in-house developed software package called TMS (Triangulation with Multiple Sensors) with multi-feature control (GCPs and GCLs). Experiments on a block of four CBERS-2B HRC images and on one CBERS-2B CCD image were performed using both models. It was observed that the combination of GCPs and GCLs provided better bundle block adjustment results than conventional bundle adjustment using only GCPs. The results also demonstrate the advantages of using primarily orbital data when the number of control entities is reduced.
机译:本文的主要贡献涉及结合地面控制点(GCP),地面控制线(GCL)和轨道数据来估计CBERS-2B(中巴地球资源卫星)所收集图像的外部定向参数的实际优势。 HRC(高分辨率相机)和CCD(高分辨率CCD相机)传感器。尽管CBERS-2B不再运行,但其图像仍在巴西使用,下一代CBERS卫星将具有具有类似技术特征的传感器,这将激发本文提出的研究。关联对象和图像空间的数学模型基于共线性(针对点)和共面(针对线)条件。这些模型是在内部开发的软件包TMS(带有多个传感器的三角测量)中创建的,该软件包具有多功能控件(GCP和GCL)。使用这两种模型分别对四个CBERS-2B HRC图像块和一个CBERS-2B CCD图像进行了实验。观察到,与仅使用GCP的常规束调节相比,GCP和GCL的组合提供了更好的束块调节结果。结果还证明了减少控制实体的数量时主要使用轨道数据的优势。

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