| 基于MIP图像拼接系统的地质剖面数字化应用研究 |
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| 引用本文：孙韬,杨良锋,卢立伍,王伟,徐峰,李莹.2017.基于MIP图像拼接系统的地质剖面数字化应用研究[J].地球学报,38(2):249-255. |
| DOI：10.3975/cagsb.2017.02.18 |
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| 基金项目:国土资源部公益性行业科研专项经费(编号: 201011003) |
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| 中文摘要:野外地质剖面考察是开展地质研究的一项重要工作。在野外地质考察过程中, 为了直观展示地质剖面的细节信息, 往往需要拍摄大量的影像。同时, 为了提高细节信息的展示程度, 这些影像往往分辨率高, 但视场角小, 所以单一的影像注定无法兼顾的展示地质剖面的整体信息和细节信息。因此基于这种同时展示整体和细节信息的需求前提下, 本文在自主研发的Mosaic of Image Program(MIP)图像拼接系统的基础上, 对野外拍摄的影像进行了拼接处理, 形成地质剖面的长条带全景影像。为了提高拼接处理的精度, 本文对高精度的相机检校、畸变校正及MIP的地质剖面应用等方面进行了研究。在湖南古丈县地质遗迹剖面的实际处理中, 完成了300多张高分辨率影像的快速拼接, 获得了良好的数据记录和展示效果, 拼接影像几何失真小于2像元。本文实现的技术手段在野外地质剖面考察中具有良好的应用前景。 |
| 中文关键词:地质剖面 数字化 MIP图像拼接系统 特征匹配 |
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| A Study of the Application of Mosaic of Image Program (MIP) to the Digitalization of Geological Section |
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| Abstract:Field study is an important task in geological section research. A lot of images should be captured in the process of field study for regional detailed information representation of geological section. These images have high resolution and small Field-of-Vision for increasing the detailed expression. Therefore, both the overall and the regional detailed information of one geological section cannot be synchronously displayed by one of these images. This paper proposes a mosaic processing method based on independent developing program (mosaic of Image Program, MIP) to make these images become a group of panoramic images for both overall and regional information representation. The authors studied the camera calibration, image distortion compensation and geological-section application of MIP for improving the accuracy of image stitching. In the applied project, the authors completed fast mosaic of about 300 high-resolution images for Guzhang geological section in Hunan, and obtained a good data record and representation result. The geometric distortion of mosaic image is less than 2 pixels. The results demonstrate that the technology proposed in this paper has a good application prospect in field study of geological section. |
| keywords:geological section digitalization mosaic of image program feature matching |
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