基于多重集典型相关分析的图像融合方法

提出了多重集典型相关分析在图像融合中应用.多重集典型相关分析能够最大化多组图像之间的互信息量,从而提升融合后图像的信息量.在对图像进行小波分解后,多重集典型相关分析应用于低频系数的融合.实验表明,该方法能够同时获取多组图像融合所需的权重参数,并使得融合后图像信息量得到提升.     

A robotic telescope network for space debris identification and tracking

The two TAROT (Télescopes à Action Rapide pour les Objets Transitoires; Rapid Action Telescopes for Transient Objects) installations are fully robotic optical observatories with optimized observation scheduling, data processing and archiving. Zadko is a 1 m telescope in Western Australia. The fully robotisation of the Zadko telescope has just been completed; it is now included in the TAROT network. In this paper we provide an overview of this international network of robotic optical telescopes. We discuss the advantages of using the network to participate in a satellite and space debris tracking program. This network will access almost all geostationary belt objects, and provide the first real-time satellite positioning capability. The inclusion of the 1 m Zadko telescope into the network significantly extends the efficiency and sensitivity of the existing two telescope configuration.     

The study of enhanced earth observations on a satellite image chain

The Multi-Spectral Camera (MSC) on the KOrea Multi-Propose SATellite (KOMPSAT)-2 was developed and launched as a main payload to provide a One(1) m panchromatic image and four(4) band four(4) m multi-spectral images at an altitude of 685 km covering a swath width of 15 km. These images, archived around the world, are a useful resource for space applications in agriculture, cartography, geology, forestry, regional planning, surveillance, and national security. The image quality of KOMPSAT-2 depends upon its image chain, which is comprised of an on-board system in the satellite and a processing system at the ground station. Therefore, in this study we determine the factors that have a major impact on the image quality through an investigation of the entire image chain. Consequently, two methods, involving a compression algorithm and a deconvolution technique, were determined as having a significant influence on the KOMPSAT-2 image quality. The compression algorithm of KOMPSAT-2 is rate-controlled JPEG-like algorithm that controls the mismatch between the input and output data rate. The ability to control the input/output data rate may be useful during the operation of the satellite but can also lower the overall image quality. The deconvolution technique may increase the sharpness of images, but it can also amplify the image noise level. Therefore, we propose methods of wavelet-based compression and denoising as an alternative to currently existing algorithms. Satisfactory results were obtained through experimentation with these two algorithms, and they are expected to be successfully implemented into the future KOMPSAT series to yield high-quality images for enhanced earth observation.     

基于多个前向神经网络和遗传算法的边界检测法

本文提出了一种基于前向神经网络和遗传算法的图象边界检测方法,这种方法由多个三层子前向神经网络并置连接加一个ＭＡＸＮＥＴ子神经网络形成,每个前向神经子网络的隐含层神经元个数和所有人权重系数由遗传算法优化确定,实验结果表明,本文提出了这咱边界检测方法抗噪声能力强,检测到的这界位置更为准确。     

基于SAR景象不变特征点的匹配定位技术研究

针对精确制导领域中的SAR景象匹配定位技术中由于实时图与基准图可能存在形变、分辨率不一致,图像旋转及雷达视角变化及噪声的影响下差异较大情况时直接利用基于灰度的规则正交二维信息匹配算法适应性差的问题,将不变特征点匹配方法(Scale Invariant Feature Transform,SIFT)应用到SAR景象匹配中,通过仿真实验取得了满意的效果,试验结果表明SIFT特征是图像的局部特征,其对旋转、尺度缩放、亮度变化保持不变性,对视角变化、噪声也保持一定程度的稳定性,对提高匹配概率和对不同图像的适应性,降低应用风险具有借鉴意义。     

基于形态学算法的2219铝合金钨极氦弧焊熔池图像特征提取

根据2219铝合金氦弧焊特点,构建了焊接过程实时视觉传感系统,获取了熔池清晰图像;为获得2219铝合金氦弧焊熔池尺寸参数,实现对熔池特征的分析,采用了形态学算法,提取了典型熔池图像边缘形状,并获得了熔池宽度特征尺寸;通过试验验证,提取的熔池图像宽度特征能够准确反映出熔池尺寸信息及变化趋势。研究结果表明:形态学算法准确度高、计算速度快,满足2219铝合金氦弧焊熔池图像实时处理需求,不同阈值及结构元素对图像特征提取效果均会产生较大影响,研究阈值自适应算法,可以满足工程上焊缝熔池特征实时视觉监测的复杂需求。     

0级数据带几何处理方法探讨

0级数据带的系统校正需要有卫星姿态控制参数。在星历参数充分的条件下,经过系统校正可得到一级带。在实际应用中,有时会遇到星历参数不全或几乎没有星历参数的情形,针对这种情况,文章提出了一种不使用任何星历参数,利用影像自身的连续性和相关性对0级数据带的处理方法。处理结果表明总体视觉效果良好。     

遥感图像的无参量辐射校正法

在卫星遥感图像及机载遥感图像中,由于大气层、仪器本身及摄取图像时的条件等因素的影响,往往存在较严重的辐射畸变,直观表现是图像中亮暗差异明显,必须予以校正。文中给出了一个不需要任何外部参数的无参量辐射校正方法。实际使用效果良好。此方法也可以有效地去除图像中存在的条纹。     

计算机图形与图像处理

计算机图形学与图像处理是两个相互独立又紧密相关的学科。在简述这两学科基本内容之后,着重介绍这两者之间的区别和共性,尤其在计算机应用中如何把这两者相互交叉,以便提高 CAD、图像重建等方面的应用水平。