AUV Local Path Planning Based on Acoustic Image Processing

The forward-looking image sonar is a necessary vision device for Autonomous Underwater Vehicles （AUV）. Based on the acoustic image received from forward-looking image sonar, AUV local path is planned. When the environment model is made to adapt to local path planning, an iterative algorithm of binary conversion is used for image segmentation. Raw data of the acoustic image, which were received from serial port, are processed. By the use of ＂Mathematic Morphology＂ to filter noise, a mathematic model of environment for local path planning is established after coordinate transformation. The optimal path is searched by the distant transmission （Dt） algorithm. Simulation is conducted for the analysis of the algorithm. Experiment on the sea proves it reliable.     

海底锰结核照片图象处理技术及展望

在研制结核图象处理软件过程中，对图象处理技术这一新领域作了尝试、图象处理技术的特点是信息量大，对硬件环境要求高，扫描、显示、打印输出要求匹配才可形成高清晰度的图象，多媒体技术为海底电视图象的处理提供了思路。     

黄土湿陷性的微结构效应

土结构是一种物质状态,可以层次式的概念模型加以确定。从图象处理角度,提出了微结构定量研究的技术路线,确定了结构要素的量化方法。通过分形结构分析,探讨了天然结构和压力对黄土湿陷性的影响、水与土样之间的作用规律及其湿陷效应,提出了分形结构的湿陷性控制机理。     

船载卫星遥感图象处理系统在南北极科学考察中的应用

船载卫星遥感图象处理系统是针对南极考察气象航线预报、冰区航行的海冰预报和导航需要而研制的船陆两用多功能软件系统。采用了最新的 DEL PHI可视化软件开发工具 ,开发了用于 WINDOWS98环境下的 32位的程序 ,并针对接收系统开发了 WINDOWS设备驱动程序 ,提高了在 WIND0 WS98多任务环境下 ,接收程序的实时性和可靠性 ;采用面向对象的程序开发方法和开放式的体系结构 ,便于功能的更新和提高 ;采用 SGP4/SDP4轨道模式及两行元素的轨道参数计算出卫星星下点的位置 ,实现了在 1 A图象上计算逐点经纬度的快速动态定位和图象显示的功能 ;采用迭代法利用电子地图网格数据 ,在接收的卫星云图上迭代套上地形及海岸线。组成了适合船陆两用的多功能快速灵活的图象处理系统 ,可以在 1～ 2分钟瞬间内完成一幅图的定位套网格和套地形线的工作。解决了南极海冰监测和冰缝、水道预报的难点。可以使图象上下滚动、左右移动、任意放大、缩小和剪取 ;可以随着鼠标的移动显示出图上任意一点的经纬度 ;能够在图上标出任意目标物 ,如船位、站位、岛屿等等 ;能够方便地在图上画出航线 ,直观地判断船所处的位置和航线周围的气象和海洋环境状况 ;解决了在茫茫海洋和冰区中航行找不到参照物时的困惑 :能够输出任意大小的 2 4位真     

天气雷达数字化回波图的平滑处理

首先阐述了各种图象平滑处理方法的特点，在仔细分析天气雷达数字化回波图特征的基础上，采取快速中值滤波的方法平滑天气雷达回波图，并得到了满意的结果     

密云米波综合孔径的图象滤波及短基线增补

我们发展了两个图象处理方法以进一步改善图象质量和观测精度。这两种方法分别是双图高通滤波和短基线数据增补。     

Production of high-resolution remote sensing images for navigation information infrastructures

This paper introduces the image fusion approach of multi-resolution analysis-based intensity modulation (MRAIM) to produce the high-resolution multi-spectral images from high-resolution panchromatic image and low-resolution multi-spectral images for navigation information infrastructure. The mathematical model of image fusion is derived according to the principle of remote sensing image formation. It shows that the pixel values of a high-resolution multi-spectral images are determined by the pixel values of the approximation of a high-resolution panchromatic image at the resolution level of low-resolution multi-spectral images, and in the pixel valae computation the M-band wavelet theory and the d trous algorithm are then used. In order to evaluate the MRAIM approach, an experiment has been carried out on the basis of the IKONOS 1 m panchromatic image and 4 m multi-spectral images. The result demonstrates that MRAIM image fusion approach gives promising fusion results and it can be used to produce the high-resolution remote sensing images required for navigation information infrastructures.