面向Bayer真彩色航空影像特征匹配的彩色描述符适用性分析

针对Bayer真彩色遥感影像进行特征匹配时,彩色描述符的效果与适用性问题一直研究较少。结合Bayer真彩色遥感影像成像变化规律和彩色描述符算法特点,从理论上分析彩色描述符的不变性。提出模拟数据评价、不同类别影像评价、任务总体适用性评价等三种实验方法对彩色描述符适用性进行实验验证和分析。通过理论分析和实验评估,总体上彩色描述符中RGBSIFT算法效果最优,对Bayer真彩色航空影像特征匹配有较好的适用性,并且不同地物属性影像在特征匹配时有不同的最优彩色描述符。     

基于自适应阈值的FAST特征点提取算法

FAST特征提取算法阈值选取固定,因此不能满足不同图像的特征点抽取要求,并且提取的结果存在着多个特征点块的现象。针对这些缺陷,首先采用动态全局阈值对原始灰度图像进行初步提取得到候选特征点,然后采取动态局部阈值和非极大值抑制法进一步对候选特征点进行筛选,从而达到自适应选取阈值和抑制多个特征点块的目的。实验表明,改进后的算法稳定性高,对不同光照和对比度情况下有一定的适应能力,并且运算量相对比于其他一些特征提取算法要小得多,满足实时应用的要求。     

基于压缩感知的曲线SAR孔径优化和目标三维特征提取

基于压缩感知理论研究了曲线合成孔径雷达的曲线孔径优化和目标三维特征提取。在建立曲线合成孔径雷达回波信号稀疏表示模型的基础上,基于压缩感知采样矩阵设计的不相关原则,给出了曲线孔径优化设计的评价准则,并利用基于全局优化的基追踪方法实现了目标三维特征提取。仿真结果验证了孔径优化评价准则的正确性和基追踪方法在目标特征提取处理中的有效性。     

NUCLEAR POWER IN THE MIDDLE EAST:

With the exception of Iran, no Middle Eastern state has an operating nuclear power reactor. Several states, including the United Arab Emirates, Saudi Arabia, Qatar, Kuwait, Israel, Syria, Jordan, Turkey, and Egypt are considering constructing such reactors; some have even taken steps towards commencing nuclear power projects. There exist, however, considerable economic, technical, safety, and security challenges to achieving these goals, many of which are acute in the Middle East region. Regional and international cooperation on nuclear technology could not only help regional states meet their energy objectives, but it could also help to build trust among states as a basic step towards a future Middle East Weapons of Mass Destruction-Free Zone.     

Multi-scale traffic vehicle detection based on faster R-CNN with NAS optimization and feature enrichment

It well known that vehicle detection is an important component of the field of object detection. However, the environment of vehicle detection is particularly sophisticated in practical processes. It is compara-tively difficult to detect vehicles of various scales in traffic scene images, because the vehicles partially obscured by green belts, roadblocks or other vehicles, as well as influence of some low illumination weather. In this paper, we present a model based on Faster R-CNN with NAS optimization and feature enrichment to realize the effective detection of multi-scale vehicle targets in traffic scenes. First, we proposed a Retinex-based image adaptive correction algorithm (RIAC) to enhance the traffic images in the dataset to reduce the influence of shadow and illumination, and improve the image quality. Second, in order to improve the feature expression of the backbone network, we conducted Neural Architecture Search (NAS) on the backbone network used for feature extraction of Faster R-CNN to generate the optimal cross-layer connection to extract multi-layer features more effectively. Third, we used the object Feature Enrichment that combines the multi-layer feature information and the context information of the last layer after cross-layer connection to enrich the information of vehicle targets, and improve the robustness of the model for challenging targets such as small scale and severe occlusion. In the imple-mentation of the model, K-means clustering algorithm was used to select the suitable anchor size for our dataset to improve the convergence speed of the model. Our model has been trained and tested on the UN-DETRAC dataset, and the obtained results indicate that our method has art-of-state detection performance.     

党的第三代领导集体对正确处理人民内部矛盾理论的丰富和发展

以江泽民为核心的党的第三代领导集体,在建立社会主义市场经济的形势下,进一步丰富和发展了毛泽东正确处理人民内部矛盾的理论。主要表现在:深化了对正确处理人民内部矛盾重要意义的认识,开拓了正确认识人民内部矛盾的新领域,发展了依法正确处理人民内部矛盾的思想,以公开、公平、公正为准则领导了正确处理人民内部矛盾的新实践。     

一种抗比例变化的影像图与矢量数据匹配方法

由于矢量图匹配中涉及比例变化的匹配算法较少,提出了一种抗小比例变化的影像图与矢量图匹配方法。该方法先对遥感影像进行特征提取,然后与GIS矢量数据进行由局部到整体的动态规划匹配。具体过程为先进行点匹配,寻求坐标变换,再进行线匹配,求得线间Hausdorff距离最小为最优匹配。仿真实例表明该方法能够准确地匹配,并抗比例变化,可行性高。     

鱼雷目标识别技术实验研究

本文分析了雷达目标识别的方法和技术,结合水声环境和目标的特点,提出了一种用于水下目标识别的特征抽取算法,并以ＴＭＳ３２０Ｃ２５为核心研制了相应的实验样机,在水池中进行了实验,结果表明该方法和系统是可行的。     

HOW THE UNITED STATES HELPED IRAN BUILD A LASER ENRICHMENT LABORATORY

In the spring of 1975, Iran became one of the first states to begin comprehensive research into using lasers for uranium isotope separation. As part of that research, the government sought the expertise of Jeff Eerkens, a leading American specialist in the field. This investigative article tells the story of their relationship: how it began, how it developed, and how it ended, drawing extensively from the authors' personal interviews with Eerkens as well as numerous publications and other interviews.     

INTERNATIONAL REGIME OF FRESH FUEL SUPPLY AND SPENT FUEL DISPOSAL

Recent events in Iran and elsewhere demand a reevaluation of the need for increasing nuclear fuel supplies and assuring reliable flow of fuel to nuclear power user states vis-à-vis the need for strengthened security for all countries against the use of weapons of mass destruction (WMD). The right of countries to a guaranteed supply of nuclear energy for peaceful uses must be balanced with the global community's desire to limit flows of nuclear material and sensitive nuclear facilities that could create opportunities for nuclear proliferation. This article proposes elements of an international regime of fresh fuel supply and spent fuel disposal that will guarantee fresh fuel supplies to countries honoring their obligations under the Treaty for the Non-Proliferation of Nuclear Weapons (NPT), while reducing concerns about diversion of spent fuel for weapons purposes. A specific application to countries with small pre-commercial uranium enrichment plants is also proposed.