位相物体的三维非对称温度场的重建

采用卷积背抽影公式实现了位相物体的三维非对称温度场的重建，为光线偏／折测量三维非对称温度场提供了高精度分析和处理实验数据的方法。     

三维PIV中透视成像的视点定位与透视平面的确定

对三维PIV中透视投影的视点定位与透视平面的确定技术作了深入的研究，提出了一种确定视点坐标与透视平面的方法，给出了相应的数学关系式，最后通过实验的方法对视点坐标与透视平面的确定技术进行了检验。     

PIV中提取速度信息的一种新方法

通过对PIV中粒子图像固有特点的研究，提出了一种新的速度信息提取方法。该方法先通过模拟人眼判断粒子图像中心点的过程来获得粒子的中心点，再利用这些中心点之间的相关关系求取速度。以内燃机缸内流场的PIV实测图像为例，通过与直接FFT变换求相关的方法进行比较，阐明了该方法的特点。     

圆度误差的一种微机图像测量法

将圆度误差测量的影像法与最小二乘圆法相结合，利用多媒体图像处理技术，设计了一种圆度误差的微机自动测量系统，实现了非接触、远距离快速测量，提高了测量精确度，为某些特殊工件的测量提供了一套实用的测量方法。     

显微镜采集图象的自动化

介绍了一种利用ＰＣ机与单片机通讯控制显微镜载物平台作三维运动从而实现了自动搜索视场，自动聚焦的方法，文中较详细地介绍了作为自动采集系统前台控制和驱动部分的单片机系统的硬，软件结构，以及作为上位机的ＰＣ机的控制策略和软件流程，由于采用了微机技术并配以精密的机械传动机构，使得对数据的获取和分析快速，准确，克服了手动调节动作慢，误差大等问题，为以后进一步对图象信息进行分析处理提供了便利。     

一种计算二维图象矩的神经网络方法

提出一种计算二维图象矩的神经网络方法，首先，导出一维信号矩与一维Ｈａｄａｍａｒｄ变换之间的关系。通过２Ｎ－一维Ｈａｄａｍａｒｄ变换和极少量加法，移位及乘法运行可计算二维图象矩。然后给出用Ｔａｎｋ－Ｈｏｐｆｉｅｌｄ神经网络实现Ｈａｄａｍａｒｄ变换的方法，并对该网络作了改进。     

BP网络进行0-9十个数字图像的识别

在BP算法和数字图像处理技术的基础上,本文在MATLAB软件环境下提取Word文档中26种字体的0-9十个数字的图像,使用MATLAB神经网络工具箱及图像处理工具箱进行数字的识别,给出了较详细的处理步骤及相关程序,并比较了各种识别算法的收敛速度和识别率。     

A strategic “viewfinder” for SETI research

One of the most important reasons why unsuccessful results have been obtained so far by the SETI Project is due to the fact that no sure targets to aim at have been available up-to the present state of research. All-sky surveys, even if very accurate and complete, might result to be time-consuming. SETI needs at least one effective “viewfinder” in order that a true targeted research is carried out with a possible success. The best foundation to get this can be identified with the search for the evidence of extraterrestrial astro-engineering activity in form of the Dyson spheres predicted by theory. The existence of such stellar objects can be ascertained by finding the evidence of two main signatures in stars of solar spectral type: infrared excess and anomalous light curves due to transiting artificial objects. These are probably the most powerful viewfinders in order to allow SETI techniques for intelligent signal search to be aimed at more appropriate targets. This paper is not intended to be a research paper but rather a review paper whose goal is not to present calculations and/or operational research but rather to be a research proposal for a more focused research in SETI just using Dyson Spheres as crucial markers.     

A non-local vectorial total variational model for multichannel SAR image speckle suppression

This paper aims at the multichannel synthetic aperture radar(SAR)image speckle reduction.This paper proposes a novel energy minimized regularization model for multichannel image denoising,which is an extension of the non-local total variational model for gray-scale image.It contains two terms,namely the vectorial data fidelity term and the non-local vectorial total variation term.The latter is constructed by high-dimensional non-local gradient that contains the structure information of the multichannel image.The existence and the uniqueness of the solution of the model are proved.A fixed point iterative algorithm is designed to acquire the solution of this model.The convergence property of this algorithm is proved as well.This model is applied to the multipolarimetric and multi-temporal RADARSAT-2 images despeckling.The result shows that this model performs better than the original vectorial total variational model on texture preserving.     

资源三号卫星廊坊地区遥感数据的融合处理

本文以资源三号卫星河北省廊坊地区2A级全色遥感影像和多光谱影像数据为基础,采用遥感数字图像处理软件ERDASIMAGINE进行了研究区域的提取,并对提取的感兴趣区进行了几何校正,即图像配准处理,然后进行了融合处理,分别采用了空间增强的分辨率融合算法、改进IHS分辨率融合算法以及小波分辨率融合算法,通过和融合前的影像进行对比,融合后的影像既保留了多光谱影像的丰富的波谱信息,同时具有了全色影像的高空间分辨率的特征,最后对比三种融合算法,得出改进的IHS分辨率融合算法效果最佳。