遥感图像的云分类和云检测技术研究

为了有效减小云层遮盖对遥感图像数据利用率的影响,提出了一种基于灰度特性 的算法,实现了遥感图像高效自动的云分类及云检测。该方法首先将大幅遥感图像切分成小块 子图,然后统计子图灰度值的均值和方差,在此基础上将云分成无云、薄云和厚云三类,最后 通过边缘检测算法,实现了对厚云影响范围的有效标记。对100 幅典型水域遥感图像的实验测 试结果表明：正确云分类判别率达到97%,误判率小于4%,漏判率小于2%,基本满足实时性 需求,证明了该算法的有效性。     

Comparative study of vision tracking methods for tracking of construction site resources

Vision tracking has significant potential for tracking resources on large scale, congested construction sites, where a small number of cameras strategically placed around the site could replace hundreds of tracking tags. The correlation of vision tracking 2D positions from multiple views can provide the 3D position. However, there are many 2D vision trackers available in the literature, and little information is available on which one is most effective for construction applications. In this paper, a comparative study of various vision tracker categories is carried out, to identify which one is most effective in tracking construction resources. Testing parameters for evaluating categories of trackers are identified, and benefits and limitations of each category are presented. The most promising trackers are tested using a database of construction operations videos. The results indicate the effectiveness of each tracker in relation to each parameter of the test, and the most suitable tracker needed to research effective 3D vision trackers of construction resources.     

Advances in estimation methods of vegetation water content based on optical remote sensing techniques

Quantitative estimation of vegetation water content(VWC) using optical remote sensing techniques is helpful in forest fire as-sessment,agricultural drought monitoring and crop yield estimation.This paper reviews the research advances of VWC retrieval using spectral reflectance,spectral water index and radiative transfer model(RTM) methods.It also evaluates the reli-ability of VWC estimation using spectral water index from the observation data and the RTM.Focusing on two main definitions of VWC—the fuel mois...     

基于ISODATA算法的土地利用状况调查

针对现有利用遥感影像进行土地利用状况调查的需求,从统计模式识别的角度出发,在分析ISODATA算法基本原理的基础上,通过visual C＋＋语言编程实现,并将其运用于武汉市某地区的土地利用调查工作中,同时对照ER—DASIMAGINE软件处理结果对分类结果进行分析,提出了改进意见,证明了该方法的可行性与实用性。     

耐热导线在线监测系统设计与实现

辽宁经济的迅猛发展导致电网现有输电线路不能有效满足电力输送的要求,而建设新的输电线路走廊成本过高。经分析论证,决定在辽宁中部断面"卡脖子"的北耿线和李灯线改造中采用耐热导线替代普通导线。耐热导线在线监测系统的设计目的是实现对耐热导线运行数据的分析和采集,为耐热导线的研究工作积累分析数据。通过1年多的实际应用,系统完全满足设计需要,为国内耐热导线的研究工作提供了新的思路。     

水下目标光学隐蔽深度遥感获取方法

针对用透明度盘深度(SD)估计水下目标的光学隐蔽深度(OCD)的方法缺乏科学性与准确性,提出了利用水色卫星遥感数据获取水下目标光学隐蔽深度的方法。在给出水下目标光学隐蔽深度概念的基础上,分析了水下目标对水中光传输的影响,并根据目标背景对比度传输方程建立了水下目标隐蔽深度与透明度盘深度的转换关系。建立了水下目标光学隐蔽深度的遥感获取模式,并对模式进行了实验验证。结果表明,黑色模型的理论计算和实测数据的相对误差小于30%,而白色模型的理论计算和实测数据的相对误差小于20%。     

Ultrasoft Liquid Metal Elastomer Foams with Positive and Negative Piezopermittivity for Tactile Sensing

Soft, capacitive tactile (pressure) sensors are important for applications including human–machine interfaces, soft robots, and electronic skins. Such capacitors consist of two electrodes separated by a soft dielectric. Pressing the capacitor brings the electrodes closer together and thereby increases capacitance. Thus, sensitivity to a given force is maximized by using dielectric materials that are soft and have a high dielectric constant, yet such properties are often in conflict with each other. Here, a liquid metal elastomer foam (LMEF) is introduced that is extremely soft (elastic modulus 7.8 kPa), highly compressible (70% strain), and has a high permittivity. Compressing the LMEF displaces the air in the foam structure, increasing the permittivity over a large range (5.6–11.7). This is called “positive piezopermittivity.” Interestingly, it is discovered that the permittivity of such materials decreases (“negative piezopermittivity”) when compressed to large strain due to the geometric deformation of the liquid metal droplets. This mechanism is theoretically confirmed via electromagnetic theory, and finite element simulation. Using these materials, a soft tactile sensor with high sensitivity, high initial capacitance, and large capacitance change is demonstrated. In addition, a tactile sensor powered wirelessly (from 3 m away) with high power conversion efficiency (84%) is demonstrated.     

螺旋布设光纤光栅的软体操作器形状传感方法

为实现微创手术软体操作器弯曲伸缩运动时的形状测量,提出一种螺旋布设光纤光栅形状传感方法。不同于传统的直线形布设方法,螺旋形布设方法可以防止软体操作器弯曲伸缩运动时,光纤光栅的折断、脱胶现象发生。理论分析了螺旋布设光纤光栅的传感原理及弯曲变形的重构算法;制备了光纤光栅沿螺旋形布设在软体操作器表面的试样;搭建了软体操作器弯曲变形的实验系统;实验分析了软体操作器在不同弯曲状态下,螺旋布设光纤光栅中心波长漂移量与弯曲角度间的变化规律,并重构出软体操作器的变形形状。实验结果表明:螺旋布设光纤光栅在软体操作器中不同位置的灵敏度最大为7.1pm/(°),软体操作器弯曲角度实际测量值与理论重构值间的最大误差不足4.29%。螺旋形光纤传感方法可用于软体操作器形状传感与重构。     

基于信息辅助块稀疏贝叶斯学习的直扩通信窄带干扰抑制

现有基于Nyquist-Shannon采样定理的窄带干扰(Narrowband Interference,NBI)抑制方法存在应用受限于采样率较高的问题。应用压缩感知(Compressive Sensing,CS)理论解决上述问题,利用NBI在频域表现出的块稀疏特性以及直接序列扩频(Direct Sequence Spread Spectrum,DSSS)信号的类噪声特性,提出了基于块稀疏贝叶斯学习(Block Sparse Bayesian Learning,BSBL)框架的DSSS通信NBI抑制模型。实现干扰抑制后,利用传统的CS重构算法实现DSSS信号的压缩域解调。为进一步提高算法性能,将NBI稀疏分块的块内自相关矩阵建模为单位矩阵,提出了信息辅助BSBL(Aid BSBL,ABSBL)算法,设计了基于ABSBL的DSSS通信NBI抑制算法。该算法在保持较好NBI抑制性能的条件下,提高了运算效率并且不依赖NBI的稀疏结构。仿真验证和对比分析结果表明,所提方法能够有效抑制DSSS通信中的NBI,在干扰强度相同的条件下,NBI带宽越小、压缩率越大,算法对NBI的抑制性能越好。     

利用太阳辐射测量合肥地区气溶胶光学厚度

2005年11月至2006年1月,选择晴朗无云的天气,利用地物光谱仪和自行设计的基于积分球的光学接收装置,测量了合肥地区的太阳直射光谱。利用Langley方法对测量的数据进行处理,反演了从350nm到2500nm的大气气溶胶光学厚度,550nm处的光学厚度平均值是0．39156,光学厚度随波长增加而减小;对计算得出的光学厚度值作了Junge分布拟合,得到浑浊度系数k的平均值是0．18895,波长指数v的平均值是3．26504,结果表明合肥地区气溶胶中小粒子占主导地位。