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Terrain matching image pre-process and its format transform in autonomous underwater navigation

机译:地形匹配图像预流程及其格式变换在自主水下导航中

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摘要

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:水下被动导航技术是现代导航领域的重要发展方向之一。凭借高自决的优势,海上隐身,抗干扰和高精度,被动导航完全符合实际导航要求。因此,被动导航已成为水下车辆的特定导航方法。导航领域的科学家和研究人员更加关注它。水下被动导航可以长期提供具有主惯性导航系统(INS)的准确导航信息,例如位置和速度。随着微电子技术的发展,AUV的导航是优先考虑辅助其他导航方法的优先权,例如地形匹配导航。它可以提供长期的导航能力,纠正INS的错误,使AUV不会从海底上出现。随着地形匹配导航技术,在数字图表和海洋地理特征传感器的帮助下,我们通过水下图像匹配辅助导航获得更高的位置精度,因此它的内容是水下的要求,长期,高精度和自治水下车辆导航系统的全天候。 Tertian-Assistant导航(TAN)直接依赖于导航字段中的图像信息(地图信息),以帮助主导航系统根据预先指定的路径。在TAN中,对系统操作的一个因素协调是可存储图像的精确性和实用性,以及产生图像数据的数据库。如果用于特性的数据不合适,系统导航精度将很低。与地形匹配助理导航系统相比,图像匹配导航系统是一种高精度和低成本的助理导航系统,其匹配精度直接影响集成导航系统的最终精度。图像匹配助理导航是空间匹配和瞄准来自两个不同传感器的两个水下风景图像,用于确认两个图像的相对位移。以这种方式,我们可以获得车辆的基准图像已知地理关系的位置,并且从图像匹配位置给出的精确位置信息被传输到INS以消除其定位误差并大大提高车辆的导航精度。水下无源导航中图像匹配的数字图像数据分析与处理很重要。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。这些分析项目结构结构的一个重要地形匹配的内容之一,并且有利于了解海底地形配置的导航区域,以便选择最有利的海底地区和可靠的导航算法。通过这种方式,我们可以提高地形辅助导航系统的精度和可靠性。本文阐述了水下图像匹配期间数字图像的预处理和格式转换。导航区域中的地形状态的信息需要进一步研究,以提供可靠的数据,地形特征和水下航行。通过实现海路的选择,危险区预测和导航算法分析,棕褐色可以获得更高的位置精度和概率,因此为水下被动导航的图像匹配提供了技术支持。

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