Orientation and self-calibration of ALOS PRISM imagery
Orientation and self-calibration of ALOS PRISM imagery
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DOI：
10.1111/j.1477-9730.2008.00493.x
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发表时间：
2008-09-01
影响因子：
2.4
通讯作者：
Gruen, Armin
中科院分区：
文献类型：
--
作者：
Kocaman, Sultan;Gruen, Armin
5米以下高分辨率卫星图像越来越多。一套算法的处理HRSI已开发出大地测量和摄影测量研究所（IGP），ETH苏黎世和实现在一个软件套件，称为卫星图像精度处理（SAT-PP）。该软件已用于处理一些高分辨率卫星传感器，如IKONOS、QuickBird、SPOT 5 HRS/HRG、Cartosat-1和ALOS PRISM。PRISM是日本ALOS卫星上携带的全色辐射计。它有三个光学系统，用于前视、天底和后视，地面采样距离（GSD）为2.5米。由于线阵CCD传感器的结构特点和内、外方位的特殊性，PRISM影像的摄影测量处理有着特殊的要求。作为ALOS校准/验证小组的成员，在IGP实施了PRISM图像几何处理的新算法，特别是用于内部定向和自校准。SAT-PP中的物理传感器模型根据传感器的多个摄像头进行细化。PRISM的严格模型是基于修改后的光束法平差，可以使用两种不同的轨迹模型。在平差中引入了自标定，将传感器和系统的系统误差作为一个整体进行建模。使用在五个不同的测试领域获得的PRISM数据集的地理参考和数字表面模型（DSM）生成的方法进行了测试。严格的传感器模型表现良好，并导致在所有测试领域的点定位亚像素精度。自校准模型已分别在项目的两个不同阶段进行了测试。在初始阶段，内部定向数据不可用，使用自校准对于实现良好的精度至关重要。然而，在后期阶段，CCD芯片探测器在焦平面上的相对位置由日本宇宙航空研究开发机构（JAXA）提供，自校准的改进变得不那么重要。DSM生成的详细分析在另一出版物中给出。
High-resolution satellite images (HRSI) at sub-5 m footprint are becoming increasingly available. A set of algorithms for processing of HRSI has been developed at the Institute of Geodesy and Photogrammetry (IGP), ETH Zurich and realised in a software suite called Satellite Image Precision Processing (SAT-PP). The software has been used for the processing of a number of high resolution satellite sensors, such as IKONOS, QuickBird, SPOT 5 HRS/HRG, Cartosat-1 and ALOS PRISM. PRISM is a panchromatic radiometer carried on board the Japanese ALOS satellite. It has three optical systems for forward, nadir and backward view with 2.5 m ground sample distance (GSD). The photogrammetric processing of PRISM imagery has special requirements owing to the linear array CCD sensor structure and special characteristics of the interior geometry and exterior orientation. As a member of the ALOS calibration/validation team, new algorithms for geometric processing of the PRISM images have been implemented at the IGP, in particular for the interior orientation and self-calibration. The physical sensor model in SAT-PP is refined according to the multiple camera heads of the sensor. The rigorous model for PRISM is based on a modified bundle adjustment with the possibility of using two different trajectory models. The self-calibration is introduced into the adjustment to model the systematic errors of the sensor and the system as a whole. The methods of georeferencing and digital surface model (DSM) generation were tested using the PRISM data-sets acquired over five different testfields. The rigorous sensor model performed well and resulted in sub-pixel accuracy for point positioning in all testfields. The self-calibration model has been tested in two different phases of the project separately. In the initial phase, where interior orientation data was not available, the use of the self-calibration was essential to achieve good accuracy. However, in the later phase the relative positions of the CCD chip detectors on the focal plane were provided by the Japan Aerospace Exploration Agency (JAXA) and the improvements by self-calibration became less significant. A detailed analysis of the DSM generation is presented in another publication.