遥感卫星地面预处理系统可视化研究

发布时间：2018-06-26 11:35

本文选题：遥感卫星地面预处理系统 + 可视化　；参考：《中国科学院大学(中国科学院遥感与数字地球研究所)》2017年硕士论文

【摘要】：遥感卫星数据地面预处理系统主要负责对卫星地面站接收到的遥感数据进行归档与管理,并进行解压缩、辐射校正、几何校正等预处理操作,以生成各级标准影像,为进一步的遥感应用提供可靠的数据。近年来,对地观测技术取得了长足的发展,遥感卫星影像的空间分辨率、光谱分辨率和时间分辨率大大提高。每天遥感卫星地面预处理系统都会收到遥感卫星发送的大量数据,但是由于缺乏对海量数据的有效的管理、展示和分析手段,一些遥感卫星地面预处理系统会给人一种“难用”的体验。为了提升系统的可用性,我们首先对系统的具体使用者进行分析。系统的使用者涉及到两类角色,一类是监控原始数据生产过程的管理人员,另一类是使用最终影像数据的用户。由于人类接收外界信息很大一部分是通过视觉来完成的,人类视觉感知系统具有高速,大容量,并行等特点。利用这一原理,我们可以利用可视化技术来提高遥感卫星地面预处理系统的可用性。本文通过对遥感卫星地面预处理系统的可视化现状深入分析,得出了提升系统可用性的三个关键点:遥感影像数据生产流程的可视化,遥感数据的可视化展示以及遥感影像数据几何定位精度检验可视化。具体研究以一个典型的遥感卫星地面预处理系统——中国遥感卫星地面站卫星数据技术部中记录与处理技术组开发的通用遥感卫星数据处理系统(VRS,The Versatile Remote Sensing Satellite Data Processing System)为基础,设计了一个能够较好满足管理人员和用户可视化需求的解决方案并升级改造了原VRS系统中的可视化部分。论文的主要工作如下:1、实现了流程可视化。通过分析管理人员对遥感地面预处理系统中的流程可视化需求,研究了BPMN规范。以符合BPMN规范的开源实现JBPM工作流管理系统为基础,提出将JBPM可视化模块与现有可视化解决方案结合的方法。这种方法可以更加方便快捷地实现流程可视化,避免了之前解决方案中所需要的大量开发维护工作。2、完善实现了遥感数据的可视化展示。通过分析用户对数据概要信息展示的需求,研究了WMS标准。以符合WMS标准的开源实现MapServer为基础,通过对各级别数据的整合完善实现了各级别数据的可视化展示。提高了数据的重复利用率,使用户不仅仅可以查看最终的遥感影像数据,而且可以查看原始条带,分景数据,辐射校正产品等各个级别的遥感数据的缩略图与元数据。3、实现了遥感影像数据几何定位精度检验可视化。通过分析用户对影像几何定位精度检验的需求,研究了计算机视觉领域常用的自动匹配算法和多源遥感影像自动匹配的难点。提出了一种对高分影像和同分辨率谷歌地球影像的进行自动匹配的算法,该算法使用RPC参数来缩小匹配区域,并使用角点以及虚拟点来剔除SIFT关键点以得到关键点集合。在得到关键点集合后,利用双向匹配的策略对这些备选匹配点进行相似性测度,最后使用RANSAC算法对匹配点提纯得到同名点,以实现遥感产品数据的自动几何定位精度检验。
[Abstract]:The remote sensing satellite data ground preprocessing system is mainly responsible for archiving and managing the remote sensing data received by satellite ground stations, and carries out pre processing operations such as decompression, radiometric correction and geometric correction to generate standard images at all levels and provide reliable data for further remote sensing applications. In recent years, the technology of earth observation has been made a great deal. The spatial resolution, spectral resolution and time resolution of remote sensing satellite images are greatly improved. Every day remote sensing satellite ground preprocessing system will receive a large amount of data from remote sensing satellites. However, due to the lack of effective management of mass data, display and analysis methods, some remote sensing satellite ground preprocessing systems will be given Human beings are a "difficult" experience. In order to improve the availability of the system, we first analyze the specific users of the system. The users of the system are involved in two types of roles, one is the manager that monitors the production process of the original data, the other is the user who uses the final image data. The human visual perception system has the characteristics of high speed, large capacity and parallel. Using this principle, we can use the visualization technology to improve the availability of remote sensing satellite ground preprocessing system. Through the in-depth analysis of the visual status of the remote sensing satellite ground preprocessing system, the hoisting system is obtained. Three key points of universal availability: visualization of remote sensing image data production process, visualization of remote sensing data and visualization of geometric positioning accuracy test of remote sensing image data. A typical remote sensing satellite ground preprocessing system -- recording and processing in the satellite data Technology Department of China remote sensing satellite ground station Based on the general purpose remote sensing satellite data processing system (VRS, The Versatile Remote Sensing Satellite Data Processing System) developed by the technology group, a solution to meet the visual requirements of the managers and users is designed and the visual part of the original VRS system is upgraded. The main work of this paper is as follows: 1, The process visualization is realized. The BPMN specification is studied by analyzing the management personnel's demand for the process visualization in remote sensing ground preprocessing system. Based on the open source JBPM workflow management system which meets the BPMN specification, the method of combining the JBPM visualization module with the existing visual solution is proposed. This method can be more square. It realizes the process visualization quickly, avoids the large amount of development and maintenance.2 needed in the previous solution, and improves the visualization of remote sensing data. By analyzing the user's demand for the presentation of data summary information, the WMS standard is studied. Based on the open source implementation of the WMS standard, the data is based on the various levels of data. The integration and perfection of the data has realized the visual display of data. It improves the reuse rate of data. Users can not only view the final remote sensing image data, but also view the original strip, the scene data, the radiation correction products and other levels of the remote sensing data of the thumbnail and metadata.3, to realize the remote sensing image data several The difficulty of automatic matching algorithm and multi source remote sensing image matching algorithm commonly used in the field of computer vision is studied by analyzing the requirement of user's accuracy test for image geometric positioning. An algorithm for automatic matching of high image and same resolution Google earth image is proposed. Using the RPC parameter to reduce the matching area, and use the corner point and the virtual point to eliminate the key points of the SIFT to get the key point set. After getting the key point set, using the two-way matching strategy to measure the similarity of these matching points, and finally use the RANSAC algorithm to get the same name points to achieve the remote sensing product data. Automatic geometric positioning accuracy test.
【学位授予单位】：中国科学院大学(中国科学院遥感与数字地球研究所)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP75;V557

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