Low-altitude,near-polar and near-circular orbits around Europa

The dynamics of orbits around planetary satellites, taking into account the gravitational attraction of a third-body and the non-uniform distribution of mass of the planetary satellite, is studied. The Hamiltonian considered is explicitly time-dependent. Conditions for frozen orbits are presented. Low-altitude, near-polar orbits, very desirable for scientific missions to study planetary satellites such as the Jupiter’s moon Europa, are analyzed. Lifetimes for these orbits are computed through the single and double averaged method. Comparison between the results obtained by the single and double averaged method is presented. The single-averaged model is more realistic, since it does not eliminate the term due to the equatorial ellipticity of the planetary satellite as done by the double-averaged problem. Considering the single-averaged method, we found unstable frozen orbits where the satellite does not impact with the surface of Europa for at least 200 days. We present an approach using the unaveraged disturbing potential to analyze the effects of these terms in the amplitude of the eccentricity.     

Selection of classification techniques for land use/land cover change investigation

The concerns over land use/land cover (LULC) change have emerged on the global stage due to the realisation that changes occurring on the land surface also influence climate, ecosystem and its services. As a result, the importance of accurate mapping of LULC and its changes over time is on the increase. Landsat satellite is a major data source for regional to global LULC analysis. The main objective of this study focuses on the comparison of three classification tools for Landsat images, which are maximum likelihood classification (MLC), support vector machine and artificial neural network (ANN), in order to select the best method among them. The classifiers algorithms are well optimized for the gamma, penalty, degree of polynomial in case of SVM, while for ANN minimum output activation threshold and RMSE are taken into account. The overall analysis shows that the ANN is superior to the kernel based SVM (linear, radial based, sigmoid and polynomial) and MLC. The best tool (ANN) is then applied on detecting the LULC change over part of Walnut Creek, Iowa. The change analysis of the multi temporal images indicates an increase in urban areas and a major shift in the agricultural practices.     

An approach to multi-temporal MODIS image analysis using image classification and segmentation

This paper discusses an approach for river mapping and flood evaluation based on multi-temporal time series analysis of satellite images utilizing pixel spectral information for image classification and region-based segmentation for extracting water-covered regions. Analysis of MODIS satellite images is applied in three stages: before flood, during flood and after flood. Water regions are extracted from the MODIS images using image classification (based on spectral information) and image segmentation (based on spatial information). Multi-temporal MODIS images from “normal” (non-flood) and flood time-periods are processed in two steps. In the first step, image classifiers such as Support Vector Machines (SVM) and Artificial Neural Networks (ANN) separate the image pixels into water and non-water groups based on their spectral features. The classified image is then segmented using spatial features of the water pixels to remove the misclassified water. From the results obtained, we evaluate the performance of the method and conclude that the use of image classification (SVM and ANN) and region-based image segmentation is an accurate and reliable approach for the extraction of water-covered regions.     

行星表面巡视探测器遥操作技术研究

行星表面巡视探测器的遥操作,是整个行星遥科学探测过程的重要组成部分。文章首先对遥操作的基本概念和行星表面巡视探测器遥操作的基本特性做了初步的分析,然后对成功发射到月球和火星表面并进行巡视探测的8个巡视探测器进行了归纳与总结,最后对行星表面巡视探测器的遥操作技术进行了总结与展望,并建议在我国首次登陆的月面巡视探测器上采用以遥操作为主,同时设置遥操作加半自主的操作模式。     

一种设计高强韧性钢材的新方法

在实验数据的基础上,利用人工神经网络建立高Co-Ni二次硬化钢的力学性能与合金成分及热处理温度对应关系的模型。提出将五个材料力学性能指标及部分合金成分作为网络的输入,其它合金成分和热处理温度作为网络的输出,根据要求的力学性能设计性能设计材料的合金成分含量及热处理条件,获得了满意的结果,为高性能材料设计提供了一定的理论辅助手段。     

人工智能技术在未来装备应用的发展思考

加快装备智能化发展是战略发展的需要。为了促进人工智能技术军事应用发展,梳理了军事人工智能技术应用发展现状,探讨了军事人工智能技术的发展需求与挑战,分析给出了军事智能应用关键技术,并提出了后续发展思考。     

从ACCV＇95看计算机视觉技术的发展

介绍了第二届亚洲计算机视觉会议（ＳＥＣＯＮＤＡＳＩＡＮＣＯＮＦＥＲＥＮＣＥＯＮＣＯＭＰＵＴＥＲＶＩＳＩＯＮ,ＡＣＣＶ’９５）的一些情况;回顾了在该领域及相关学科的研究成果;讨论了当前计算机视觉所面临的理论与实际应用问题,并对中国空间技术研究院这一学科的发展提出看法。     

基于相似理论的星球车牵引通过性模型

深空探测车辆在星球表面巡视过程中,应避免过度沉陷,保障其可靠的通过性能具有重要意义。月球和火星表面重力加速度分别约为地球表面重力加速度的1/6和2/5,地面实现低重力环境的模拟具有一定局限性,因此基于相似理论进行轮壤相互作用系统的量纲分析,研制二分之一缩比模型车;开展缩比模型车轮壤试验,重点研究滑转条件下车轮沉陷行为和牵引特性;基于地面力学理论,结合轮壤接触应力分布的线性化方法,建立与沉陷和滑转率相关联的星球车挂钩牵引力预测模型。通过土槽试验数据对模型进行验证,结果表明该模型具有较高的准确性。能够为星球车通过性评估提供一定的理论技术基础。     

开式转子发动机计算模型及调节研究

目前先进的开式转子发动机多采用变桨距、双排共轴对转桨作为推进部件。采用双排桨的气动计算方法,根据单排桨特性图计算对应的双排对转桨特性图,验证对转桨性能计算模型。在双轴涡轮喷气发动机计算模型的基础上,添加动力涡轮、行星差动齿轮和双排对转桨,组成开式转子发动机计算模型。采用该模型研究了开式转子发动机的调节计划,对比了等转速和等叶尖速度调节的不同,以及对开式转子发动机高度速度特性的影响,并使用美国PROOSIS模型对计算结果进行验证。结果表明：开式转子发动机模型计算精度较高,可较准确地研究不同设计参数和调节规律下发动机的总体性能,其中固定桨扇叶尖速度的调节计划在较低飞行速度下具有高推力、低油耗的优点,可以获得较好的全包线性能。     

液体火箭发动机智能健康监控技术研究进展

健康监控技术作为改进和提高液体火箭发动机安全性与可靠性的核心关键技术,近年来其智能化发展的趋势十分明显。本文简要回顾了液体火箭发动机健康监控技术的发展历程;重点围绕基于传统人工智能的方法和基于深度学习的方法两个方面,对智能故障检测与诊断方法进行了系统地介绍;进一步阐述了健康监控系统在方案设计和实际应用等方面的研究现状,以及智能健康监控系统的发展情况;最后对今后健康监控技术的发展趋势进行了分析和展望。