中高分辨力遥感图像中飞机目标自动识别算法研究

提出了一种中高分辨力的航空航天遥感图像中飞机目标快速自动识别的新算法。在分割和分类过程中充分利用飞机目标的先验知识,提出了一种改进区域分割方法,并应用树分类器对飞机目标进行自动识别。所提出的改进区域分割方法较好地实现了区域分割中阈值的准确自动选取,克服了复杂背景图像中小目标的全局阈值自动分割的失效问题。采用二叉树分类器,通过提取简单的目标几何特征,分层进行种类识别,提高了识别速度,降低了漏检率和虚警率。运用该方法进行了实验。结果表明,识别率达到了100%。     

大口径合成孔径激光成像雷达演示样机及其实验室验证

合成孔径激光成像雷达(SAIL)的主要技术指标如光学足趾尺寸和成像分辨率等都必须在所设计的远距离传输后实现.提出了一种在实验室空间近距离实现SAIL全系统贯通验证的方法,即在SAIL中附加光学装置使得其在近距离产生发射光束的准几何投影和足够大的外差接收视场,从而产生近距离二维SAIL成像必需的并且适当的光学足趾和方位向...     

基于渐进添边的准循环压缩感知时延估计算法

针对时延估计问题中压缩感知类算法现有测量矩阵需要大量数据存储量的问题,提出了一种基于渐进添边的准循环压缩感知时延估计算法,实现了稀疏测量矩阵条件下接收信号时延的准确估计.该算法首先建立压缩感知与最大似然译码之间的理论桥梁,然后推导基于低密度奇偶校验码的测量矩阵的设计准则,引入渐进添边的思想构造具有准循环结构的稀疏测量矩阵,最后利用正交匹配追踪算法正确估计出时延.对本文算法的计算复杂度与测量矩阵的数据存储量进行理论分析.仿真结果表明,所提算法在测量矩阵维数相同的条件下正确重构概率高于高斯随机矩阵和随机奇偶校验测量矩阵,相比于随机奇偶校验矩阵,在数据存储量相等的条件下,以较少的计算复杂度代价得到了重构概率的较大提高.     

光纤光栅传感器的理论、设计及应用的最新进展

从单参数、多参数及分布式传感的角度,分析了各种光纤光栅传感器的理论及技术发展,详细阐述了光纤光栅敏化与封装技术,论述了光纤光栅传感器的设计方法和实现技术,介绍和评述了光纤光栅器及其传感网络系统应用的最新进展。     

Learning to short-time Fourier transform in spectrum sensing

The future wireless communication will come up with a strict requirement on high spectral efficiency, developing novel algorithms for spectrum sensing with deep sensing capability will be more challenging. However, traditional expert feature-based spectrum sensing algorithms are lack of sufficient capability of self-learning and adaptability to unknown environments and complex cognitive tasks. To address this problem, we propose to build up a deep learning network to learn short time-frequency transformation (STFT), a basic entity of traditional spectrum sensing algorithms. Spectrum sensing based on the learning to STFT network is supposed to automatically extract features for communication signals and makes decisions for complex cognitive tasks meanwhile. The feasibility and performances of the designed learning network are verified by classifying signal modulation types in deep spectrum sensing applications.     

基于特征结构相似度的遥感影像融合质量评价指标

在分析现有影像融合评价指标的基础上,根据人眼视觉特性,提出一种基于特征结构相似度的遥感影像融合评价指标.首先从原始影像和融合影像中提取空间特征和光谱特征,然后综合计算空间特征和光谱特征的结构相似度作为评价指标,达到评价影像质量的目的.通过对多种传感器获取的遥感影像进行融合实验,结果表明该客观评价方法与主观评价结果一致,...     

Thickness shear mode quartz crystal resonators with optimized elliptical electrodes

Quartz crystal resonators (QCRs) with circular electrodes have been widely used for various liquid and gas sensing applications. In this work,quartz crystal resonators with elliptical electrodes were studied and tested for liquid property measurement. Mindlin’s theory was used to optimize the dimension and geometry of the electrodes and a 5-MHz QCR with minimum series resistance and without any spurious modes was obtained. A series of AT-cut QCRs with elliptical electrodes of different sizes were fabricated and their sensing performances were compared to devices with circular electrodes. The experimental result shows that the device with elliptical electrodes can obtain lower resonance impedance and a higher Q factor,which results in a better loading capability. Even though the sensitivities of devices with elliptical and circular electrodes are found to be similar,the sensor with elliptical electrodes has much higher resolution due to a better frequency stability. The study indicates that the performance of QCRs with elliptical electrodes is superior to that of traditional QCRs with circular electrodes.     

A spectroscopic database for water vapor adapted to spectral properties at high temperature, and moderate resolution

The prediction of infrared spectral radiance from high temperature media such as combustion gases requires spectroscopic data for triatomic molecules like water vapor and carbone dioxyde. At temperature above 2000 K, water vapor spectrum is composed of hundreds of thousands lines making practical computations uneasy. We have set up a spectroscopic database for water vapor, based on three existing lines compilations. This database is well suited to computation of remote sensing spectra where hot gases emission is seen through atmospheric paths. The database enables efficient computation of water vapor spectra between 600 and 6600 cm⁻¹ at moderate spectral resolution (5 cm⁻¹). It has been used to compute parameters of a statistical narrow band model which are used in practical applications.     

依据列相关性优化高斯测量矩阵

为了提高信号重建的精度以及稀疏度适用范围,提出了一种新的测量矩阵优化方法,减小测量矩阵和稀疏变换矩阵的相关性。首先,由测量矩阵和稀疏变换矩阵的乘积构造Gram矩阵;根据Gram矩阵的维数,计算互相关函数的下确界即Welch界;其次,由Welch界确定阈值,收缩Gram矩阵中大于阈值的非对角元;然后,由新得的Gram矩阵和稀疏变换矩阵反解出测量矩阵,迭代更新,从而达到减小相关性,优化测量矩阵的目的。实验结果表明：依据Welch界优化测量矩阵,能快速降低压缩感知矩阵相关性的最大值,提高OMP算法的性能,例如在误差率为10_-0.9时,原高斯随机矩阵需要23个观测值,算法优化后只需16个观测值,相对于Elad、Zhao等观测矩阵优化方法,文中提出的算法具有更小的重构误差,性能和稳定性也略有提升。     

太阳光谱辐照度绝对测量及其定标单色仪

为满足高精度太阳光谱辐照度绝对测量的需求,研制了太阳光谱辐照度绝对测量系统及其定标单色仪。介绍了太阳光谱辐照度绝对测量的现状,并着重介绍了太阳定标单色仪和积分球太阳光谱仪的设计方案,以及高精度辐射定标传递链路。设计用于太阳光谱辐照度绝对测量的太阳定标单色仪和积分球太阳光谱仪,通过低温绝对辐射计和太阳定标单色仪实现绝对定标,使积分球太阳光谱仪测量数据可溯源至国际基本单位(SI)。结果表明:太阳定标单色仪的光谱范围覆盖300~2 400 nm,光谱分辨率为3~10 nm,输出单色太阳光功率的不确定度为0.2%~0.5%;积分球太阳光谱仪的光谱范围覆盖300~2 500 nm,光谱分辨率为1~8 nm,太阳光谱辐照度绝对测量精度最高可达0.5%。用低温绝对辐射计和太阳定标单色仪绝对定标积分球太阳光谱仪,可以实现高精度太阳光谱辐照度的绝对测量。