Ground-Based Cloud Using Exponential Entropy/Exponential Gray Entropy and UPSO

Objective and accurate classification model or method of cloud image is a prerequisite for accurate weather monitoring and forecast. Thus safety of aircraft taking off and landing and air flight can be guaranteed. Thresholding is a kind of simple and effective method of cloud classification. It can realize automated ground-based cloud detection and cloudage observation. The existing segmentation methods based on fixed threshold and single threshold cannot achieve good segmentation effect. Thus it is difficult to obtain the accurate result of cloud detection and cloudage observation. In view of the above-mentioned problems, multi-thresholding methods of ground-based cloud based on exponential entropy/exponential gray entropy and uniform searching particle swarm optimization （UPSO） are proposed. Exponential entropy and exponential gray entropy make up for the defects of undefined value and zero value in Shannon entropy. In addition, exponential gray entropy reflects the relative uniformity of gray levels within the cloud cluster and background cluster. Cloud regions and background regions of different gray level ranges can be distinguished more precisely using the multi-thresholding strategy. In order to reduce computational complexity of original exhaustive algorithm for multi-threshold selection, the UPSO algorithm is adopted. It can find the optimal thresholds quickly and accurately. As a result, the real-time processing of segmentation of groundbased cloud image can be realized. The experimental results show that, in comparison with the existing groundbased cloud image segmentation methods and multi-thresholding method based on maximum Shannon entropy, the proposed methods can extract the boundary shape, textures and details feature of cloud more clearly. Therefore, the accuracies of cloudage detection and morphology classification for ground-based cloud are both improved.     

红外光学系统无热化效果评估系统设计

红外光学系统无热化效果评估,需采用光学检测的方法对被测系统在不同温度情况下的焦点位置偏移和像点质量变化进行测试.本文介绍了一种中波红外光学系统无热化评估系统的工作原理及结构形式,并给出了高低温箱温度效应.红外窗口凝霜.红外显微物镜设计等技术难点的解决方案.最终的评估效果表明,系统设计满足使用要求.     

卫星光学遥感系统优化设计与像质评价探讨

介绍了卫星光学遥图像获取与图像处理一体化优化设计的思路；运用通用像质方程（GIQE）对于利用小相对孔径光学系统和调制传递函数补偿（MTFC）方法得到的图像的品质与利用相对较大相对孔径光学系统得到的图像的品质进行了对比分析。     

Object-based representations of spatial images

Object based representations of image data enable new content-related functionalities while facilitating management of large image databases. Developing such representations for multi-date and multi-spectral images is one of the objectives of the second phase of the Alexandria Digital Library (ADL) project at UCSB. Image segmentation and image registration are two of the main issues that are to be addressed in creating localized image representations. We present in this paper some of the recent and current work by the ADL's image processing group on robust image segmentation, registration, and the use of image texture for content representation. Built upon these technologies are techniques for managing large repositories of data. A texture thesaurus assists in creating a semantic classification of image regions. An object-based representation is proposed to facilitate data storage, retrieval, analysis, and navigation.     

基于人工蚁群的红外弱小目标检测方法

提出一种基于人工蚁群的红外弱小目标检测方法.首先利用模糊隶属度函数对图像进行预处理获取可能的目标点;然后利用该结果与信息素一起共同指导蚂蚁的行为;最后通过蚂蚁行走路径上的信息素分布进行更新,使得分布在目标路径上的信息素逐渐增大,逐渐向真实的目标图像收敛达到抑制背景的目的.仿真和实验表明,与固定权值滤波方法和最大化中值滤波方法相比,该方法能够有效地从复杂背景的图像序列中检测弱小目标.     

基于支持向量回归与多核集成的红外成像导引头抗干扰性能评估方法

面对着日益复杂的对抗环境,红外成像导引头的抗干扰性能需要不断提高。如何全面、客观、准确地对红外成像导引头的抗干扰性能进行评估,是一项急需解决的难题。针对传统基于支持向量机的评估方法中单核学习能力的不足,提出了一种基于支持向量回归与多核集成的评估方法,该方法在抗干扰评估指标体系下得到了综合的抗干扰性能值,为红外成像导引头抗干扰性能评估提供了新的思路。该方法能够训练多个支持向量回归机并融合多个核函数的优势,充分利用了特征的多样性,进一步降低了回归误差。实验结果表明:该算法能够实现高效可靠的红外成像导引头抗干扰性能评估。     

Formation and Evolution of Titan’s Atmosphere

The origin and evolution of Titan’s enigmatic atmosphere is reviewed. Starting with the present-day volatile inventory, the question of what was the original composition on Titan and how a satellite of similar size to other Galilean moons managed to acquire and hold on to the required material is discussed. In particular the possible sources and sinks of the main mother molecules (nitrogen, methane and oxygen) are investigated in view of the most recent models and laboratory experiments. The answers expected to be provided by the instruments aboard the Cassini-Huygens mission to some of the most prominent current questions regarding Titan’s atmosphere are defined.     

Collimator-based Fourier-transform imaging

In viewpoint of signal processing, we describe the principle of collimator-based Fourier-transform imaging, from verifying Fourier-transform function of collimator to presenting theoretical model of dirty image. This gives us a guideline in designing collimator imager, that is configuring the subcollimators properly to improve the quality of the dirty image. Here we optimize the arrangement of the subcollimators of YOHKOH Hard X-ray Telescope (HXT) to get the Point Spread Function of sidelobes as small as possible and simulate that with MATLAB.     

A composite focal plane assembly for the GERB instrument

In this paper, we present the design and construction of a composite focal plane assembly (FPA) for the Geostationary Earth Radiation Budget (GERB) Earth observing, visible–infrared imaging radiometer. The FPA is a complex structure that incorporates a number of features aimed at reducing mass, power and volume. These include the use of silicon and ceramic substrates for high density tracking and temperature stabilisation, removable test structures for component verification prior to final assembly and high levels of integration.     

建筑物温度场红外测试的研究

研究了采用红外热像图快速测试建筑物外表面温度场的方法，提出了一种基于信息融合的修正方法。