A multi-index assessment method for evaluating coverage effectiveness of remote sensing satellite

This paper deals with the multi-index assessment method for evaluating coverage effectiveness of remote sensing satellite. Because a series of satellite activities such as imaging, moving target observation, and environment investigation need to know the coverage characteristics, the coverage capability of the remote sensing satellite is the most important index. Thus, it is very important to establish the method of effectiveness evaluation of coverage characteristics. This paper focuses on the assessment of coverage effectiveness of remote sensing satellite, and proposes and designs a multi-index evaluation method based on index weight using entropy weight method and analytic hierarchy process. With a simulation case, the effectiveness evaluation results of single satellite coverage and multi-satellite coverage performance are given for the proposed assessment. The experimental results show that the established coverage characteristic model and the proposed assessment method are effective and right.     

非光学遥感数据的可视化处理

对非光学遥感数据进行可视化处理有利于信息的提取和识别。伪彩色处理是非光学遥感图像增强和显示的常用方法,调色板的编码技术是非光学遥感图像伪彩色显示的关键。对照灰度编码方法,给出了非线性伪彩色编码方法和类JET伪彩色编码方法,并以干涉合成孔径声纳湖试数据处理为例,验证了这些方法的有效性。     

小卫星星座的最优脉冲变轨研究

针对小卫星星座,进行星座发射中的最优脉冲式变轨研究,给出了形成星座的脉冲式变轨的基本原理;基于卫星相对运动状态转移方程,推导出了星座参脉冲式变轨的理论解,即所要施加的脉冲控制量的解析式,利用遗传算法,对双脉冲式变轨的脉冲控制量进行了优化计算,求得了使总变轨脉冲最小的最优变轨时间,最后,探讨了星座脉冲式变轨的工程实现现途径,为工程应用和研究提供参考。     

Estimating fire properties by remote sensing

Contemporary knowledge of the role of fire in the global environment is limited by inadequate measurements of the extent and impact of individual fires. Observations by operational polar-orbiting and geostationary satellites provide an indication of fire occurrence but are ill-suited for estimating the temperature, area, or radiant emissions of active wildland and agricultural fres. Simulations here of synthetic remote sensing pixels comprised of observed high-resolution fire data together with ash or vegetation background demonstrate that fire properties including flame temperature, fractional area, and radiant-energy flux can best be estimated from concurrent radiance measurements at wavelengths near 1.6, 3.9, and 12 pm. Successful observations at night may be made at scales to at least 1 kmn for the cluster of fire data simulated herein. During the daytime, uncertainty in the composition of the background and its reflection of solar radiation would limit successful observations to a scale of approximately 100 mn or less. Measurements at three wavelengths in the long-wave infrared would be unaffected by reflected solar radiation and could be applied to separate flame properties in a binary system of flame and background. However, likely variation in the composition of the background and its temperature limit the approach to measurements that are of high resolution in relation to the scale of the flaming front. Alternative approaches using radiances at wavelengths near 4 and 12 pm alone must fail absent a correction for the background, yet the correction is made imprecise by uncertainty in composition of the background where it comprises more than one-third of a pixel.     

基于能量最优的敏捷遥感卫星在轨任务规划

针对敏捷遥感卫星对多个离散观测点在轨自主任务规划问题,在考虑姿态运动方程耦合性的基础上,将问题分解为空间资源调度问题和连续最优控制问题,进而提出了一种结合伪谱法和遗传算法的混合求解算法。该算法针对基于行商问题(TSP)模型建立的空间资源调度问题模型,选用二维编码结构对观测顺序和相对观测时间进行实数编码,并采用遗传算法求解观测序列和观测时间;针对判断观测时间可行性时涉及的时间最优控制问题、以及姿态转移过程中涉及的最小能量消耗问题,将其归结为连续最优控制问题,并基于Gauss伪谱协态变量映射定理,采用Gauss伪谱法进行求解。通过与基于单纯遗传算法的规划算法进行对比试验,本文所提出的基于伪谱法和遗传算法的混合求解策略针对目标问题,在典型工况下姿态转移过程中能量消耗降低60%。     

概念设计时影响涡轮转子叶片强度的关键因素

基于总体结构参数对后期详细设计的重要性这一事实,探讨了航空发动机叶片概念设计中可能出现的强度问题,研究了涡轮叶片的 AN2值、轮缘切线速度、叶片稠度和材料性能等重要设计参数对强度和寿命的影响.结果表明:目前先进民用大涵道比涡扇发动机的 AN2值在25m2·(r/min)2以内,轮缘切线速度应当使得涡轮盘的形状因子控制在2以内,叶片稠度则应满足叶片能被榫连结构包容的要求,材料蠕变和低循环疲劳性能的限制要求高压涡轮叶片根部平均应力控制在250MPa左右.这些结果将为先进航空发动机和燃气轮机涡轮叶片的设计提供重要的参考依据.      

异地进行小型机场气象预报的可行性研究

为了满足国民经济高速发展和民航运输量显著增加的需求,同时随着低空空域的逐渐开放,民航航线网络出现了前所未有的扩展,全国相继出现了一批通航机场、边远机场和因季节性旅游而开发的机场。由于小机场配备的气象设备     

Spacecraft optimal rendezvous controller design using simulated annealing

A new global approach for rendezvous Linear Quadratic controller design is presented in this paper. Instead of solving the algebraic Riccati equation, a continuous simulated annealing (SA) algorithm is used to design rendezvous LQ controller. Optimization of one automatic rendezvous controller with 18 design parameters is illustrated. The results show that the SA algorithm can locate the global solution effectively and robust, besides a great number of global solutions have been obtained by the SA. The SA has demonstrated better performance than other optimization algorithms such as floating-coded Genetic Algorithm, Simplex method and Powell algorithm.     

Future space suit design considerations

Future space travel to the moon and Mars will present new challenges in space suit design. This paper examines the impact that working on the surface environment of the moon and Mars will have on the requirements of space suits. In particular, habitat pressures will impact suit weight and design. Potential structural materials are explored, as are the difficulties in designing a suit to withstand the severe dust conditions expected.     

Adaptive controller design for satellite attached by non-cooperative object

When non-cooperative body attachment occurs in space, the inertia of the new combination and the change of the system’s momentum are unknown.This uncertainty may lead to the instability of the spacecraft’s attitude control.In order to solve this problem, we propose an adaptive control scheme based on the inertia estimation of the new, combined system of non-cooperative body and satellite.This method can allow the new combination of different situations to reach a stable state with a high level o...     

Air traffic management design considerations

An air traffic management system (ATMS) is a network-centric system being used to manage another network-centric system, namely, an air transportation system. We are developing a design language for network-centric systems and design guidelines for the development system of engineers and domain specialists involved in designing and integrating systems. Note: this development system with today's technology is also a network-centric system. An outline of the design language under construction and the design guidelines being studied is provided. Specifically we discuss ATMS mission objectives (e.g., average yearly throughput of people and freight for a high demand scenario); ATMS sample usage scenarios (e.g., ATMS reroutes air traffic in time and space in reaction to major weather deviation along the northeast coast); and system objectives for an ATMS (e.g., timelines of a specific high volume of messages from aircraft, weather sensors, and airports). We lay out some key design decisions associated with both the development system of engineers and domain specialists and the operational ATMS. Examples of key design decisions for the engineering system are: 1) appropriate partitioning of functional/physical architectures of the engineering system; 2) appropriate degree to telecollaboration and collaboration among design/integration groups; 3) appropriate incremental delivery packages for an incremental delivery schedule of ATMS elements; and 4) appropriate levels and thrusts of the risk management program. Examples of key design decisions for the operational ATMS are: 1) throughput and security trades of the ATMS and 2) throughput and resiliency to weather changes. Finally, we relate network-centric architecture issues to both of the above sets of design decisions.     

Ultraviolet spectroscopy and remote sensing of the upper atmosphere

The Earth's ultraviolet airglow contains fundamental diagnostic information about the state of its upper atmosphere and ionosphere. Our understanding of the excitation and emission processes which are responsible for the airglow has undergone dramatic evolution from the earliest days of space research through the past several years during which a wealth of new information has been published from high-resolution spectroscopy and imaging experiments. This review of the field begins with an overview of the phenomenology: how the Earth looks in the ultraviolet. Next the basic processes leading to excitation of atomic and molecular energy states are discussed. These concepts are developed from first principles and applied to selected examples of day and night airglow; a detailed review of radiation transport theory is included. This is followed by a comprehensive examination of the current status of knowledge of individual emission features seen in the airglow, in which atomic physics issues as well as relevant atmospheric observations of major and minor neutral and ionic constituents are addressed. The use of airglow features as remote sensing observables is then examined for the purpose of selecting those species most useful as diagnostics of the state of the thermosphere and ionosphere. Imaging of the plasmasphere and magnetosphere is also briefly considered. A summary of upcoming UV remote sensing missions is provided.     

SRS-Net: Training object detectors from scratch for remote sensing images without pretraining

Most of the current object detection algorithms use pretrained models that are trained on ImageNet and then fine-tuned in the network, which can achieve good performance in terms of general object detectors. However, in the field of remote sensing image object detection, as pretrained models are significantly different from remote sensing data, it is meaningful to explore a train-from-scratch technique for remote sensing images. This paper proposes an object detection framework trained from scratch, SRS-Net, and describes the design of a densely connected backbone network to provide integrated hidden layer supervision for the convolution module. Then, two necessary improvement principles are proposed: studying the role of normalization in the network structure, and improving data augmentation methods for remote sensing images. To evaluate the proposed framework, we performed many ablation experiments on the DIOR, DOTA, and AS datasets. The results show that whether using the improved backbone network, the normalization method or training data enhancement strategy, the performance of the object detection network trained from scratch increased. These principles compensate for the lack of pretrained models. Furthermore, we found that SRS-Net could achieve similar to or slightly better performance than baseline methods, and surpassed most advanced general detectors.