首页> 外文会议>Conference on Geospatial Information Technology and Applications; 20070525-27; Nanjing(CN) >Terrain matching image pre-process and its format transform in autonomous underwater navigation
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Terrain matching image pre-process and its format transform in autonomous underwater navigation

机译:自主水下航行中地形匹配图像预处理及其格式转换

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Underwater passive navigation technology is one of the important development orientations in the field of modern navigation. With the advantage of high self-determination, stealth at sea, anti-jamming and high precision, passive navigation is completely meet with actual navigation requirements. Therefore passive navigation has become a specific navigating method for underwater vehicles. The scientists and researchers in the navigating field paid more attention to it. The underwater passive navigation can provide accurate navigation information with main Inertial Navigation System (INS) for a long period, such as location and speed. Along with the development of micro-electronics technology, the navigation of AUV is given priority to INS assisted with other navigation methods, such as terrain matching navigation. It can provide navigation ability for a long period, correct the errors of INS and make AUV not emerge from the seabed termly. With terrain matching navigation technique, in the assistance of digital charts and ocean geographical characteristics sensors, we carry through underwater image matching assistant navigation to obtain the higher location precision, therefore it is content with the requirement of underwater, long-term, high precision and all-weather of the navigation system for Autonomous Underwater Vehicles. Tertian-assistant navigation (TAN) is directly dependent on the image information (map information) in the navigating field to assist the primary navigation system according to the path appointed in advance. In TAN, a factor coordinative important with the system operation is precision and practicability of the storable images and the database which produce the image data. If the data used for characteristics are not suitable, the system navigation precision will be low. Comparing with terrain matching assistant navigation system, image matching navigation system is a kind of high precision and low cost assistant navigation system, and its matching precision directly influences the final precision of integrated navigation system. Image matching assistant navigation is spatially matching and aiming at two underwater scenery images coming from two different sensors matriculating of the same scenery in order to confirm the relative displacement of the two images. In this way, we can obtain the vehicle's location in fiducial image known geographical relation, and the precise location information given from image matching location is transmitted to INS to eliminate its location error and greatly enhance the navigation precision of vehicle. Digital image data analysis and processing of image matching in underwater passive navigation is important. In regard to underwater geographic data analysis, we focus on the acquirement, disposal, analysis, expression and measurement of database information. These analysis items structure one of the important contents of underwater terrain matching and are propitious to know the seabed terrain configuration of navigation areas so that the best advantageous seabed terrain district and dependable navigation algorithm can be selected. In this way, we can improve the precision and reliability of terrain assistant navigation system. The pre-process and format transformation of digital image during underwater image matching are expatiated in this paper. The information of the terrain status in navigation areas need further study to provide the reliable data, terrain characteristic and underwater overcast for navigation. Through realizing the choice of sea route, danger district prediction and navigating algorithm analysis, TAN can obtain more high location precision and probability, hence provide technological support for image matching of underwater passive navigation.
机译:水下无源导航技术是现代导航领域的重要发展方向之一。被动导航具有自决,海上隐身,抗干扰,精度高的优点,完全可以满足实际的导航要求。因此,被动导航已经成为水下车辆的一种特定的导航方法。航海领域的科学家和研究人员对此给予了更多关注。水下被动导航可以在很长一段时间内通过主要惯性导航系统(INS)提供准确的导航信息,例如位置和速度。随着微电子技术的发展,AUV的导航优先于INS并辅以其他导航方法,例如地形匹配导航。它可以提供长期的导航能力,纠正INS的误差,使AUV不会长期从海底浮出水面。借助地形匹配导航技术,在数字海图和海洋地理特征传感器的辅助下,我们通过水下图像匹配辅助导航来获得更高的定位精度,因此满足水下,长期,高精度和高要求的要求。全天候的水下航行器导航系统。三次辅助导航(TAN)直接依赖于导航字段中的图像信息(地图信息),以根据预先指定的路径辅助主导航系统。在TAN中,与系统操作相协调的一个重要因素是可存储图像和生成图像数据的数据库的准确性和实用性。如果用于特性的数据不合适,则系统导航精度将很低。与地形匹配辅助导航系统相比,图像匹配导航系统是一种高精度,低成本的辅助导航系统,其匹配精度直接影响着集成导航系统的最终精度。图像匹配辅助导航在空间上进行匹配,并针对来自两个不同传感器的两个水下景象,这些传感器对同一景物进行了矩阵化处理,以确认两个图像的相对位移。这样,就可以在已知地理关系的基准图像中获得车辆的位置,并将图像匹配位置给出的精确位置信息传输到INS,以消除其位置误差,大大提高了车辆的导航精度。水下被动导航中的数字图像数据分析和图像匹配处理非常重要。关于水下地理数据分析,我们专注于数据库信息的获取,处置,分析,表达和测量。这些分析项目构成了水下地形匹配的重要内容之一,有利于了解导航区域的海床地形配置,从而可以选择最有利的海床地形区和可靠的导航算法。这样可以提高地形辅助导航系统的精度和可靠性。阐述了水下图像匹配过程中数字图像的预处理和格式转换。导航区域中的地形状态信息需要进一步研究,以提供可靠的数据,地形特征和水下阴天来进行导航。通过实现航路选择,危险区域预测和导航算法分析,TAN可以获得更高的定位精度和概率,从而为水下无源导航的图像匹配提供技术支持。

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