改进独立分量分析极化SAR影像相干滤波

极化合成孔径雷达(SAR)影像的相干斑滤波,对其后处理起着至关重要的作用。针对传统的独立分量分析(ICA)算法稳定性差、易陷入局部最优等缺陷,该文提出基于粒子群优化(PSO)改进的ICA滤波算法,用于进行极化SAR影像相干斑滤波。该方法利用PSO算法来改进解混矩阵W的行向量的生成过程,以提高ICA算法的分离效果。采用AIRSAR获取的旧金山海湾地区的L波段极化SAR影像进行实验,并用相干斑指数、迭代次数、收敛时间等指标进行客观评价。结果表明,基于PSO改进的ICA算法具有更高的收敛效率和更好的相干斑抑制性能,能有效地降低影像的相干斑噪声。     

地心地固坐标系有理多项式系数模型探讨

针对遥感影像处理中多源影像联合定位研究的不足,该文在地心地固坐标系(ECEF)中构建航天光学与SAR影像的有理多项式(RPC)模型,给出了计算ECEF中RPC参数虚拟控制点的获取方法,分析了大地坐标系与ECEF中虚拟控制点格网的形变特点,并选取5种光学与SAR影像进行了RPC参数拟合试验,验证了模型的可行性。结果表明ECEF坐标系RPC模型不仅能够克服大地坐标系RPC模型存在应用盲区的缺点,也有利于通用模型和严密模型结合,在统一的坐标系中实现多源影像的联合定位。     

基于纹理特征的SAR影像各拉丹冬冰川信息提取

冰川面积是监测冰川变化信息的重要参数。本文以各拉丹东地区为例,根据冰川区域特有的纹理特征,选取时间间隔为35天的ENVISAT ASAR干涉对,利用灰度共生矩阵提取纹理特征,通过波段组合进行监督分类,进而提取研究区冰川面积。同时以Landsat TM光学影像为依据,评价利用纹理特征提取结果的精度。研究表明:基于纹理特征并利用SAR影像提取冰川面积的方法是可行的,为提取冰川信息提供了又一可靠手段。     

GIS-based cost distance modelling to support strategic maritime search and rescue planning: A feasibility study

Geographic information system (GIS) based methodologies are widely used to various problems. However, its potential for application to strategic maritime search and rescue (SAR) planning remains largely unexplored. To investigate the applicability of GIS-based tools to this problem, this paper presents an approach to evaluate accessibility and response times in a sea area. Such information aids to objectify the response effectiveness of a SAR system, which is important for rational resource allocation. The presented methodology accounts for the main characteristics of maritime response, namely spatial accessibility, capabilities of search and rescue units (SRUs) and prevailing wave conditions, which affect the attainable SRU speeds. An application to the Finnish areas of the Gulf of Finland is shown. Despite the existence of some difficulties with currently available tools (e.g. accurate and user-friendly spatial wave models and challenges with using raster-based methods in topologically complex areas) and limitations in knowledge (e.g. the SRU capabilities in actual operations), the results indicate that the methodology provides good opportunities for enhancing maritime decision making.     

Development of a snow wetness inversion algorithm using polarimetric scattering power decomposition model

In this paper, a new snow wetness estimation model is proposed for full-polarimetric Synthetic Aperture Radar (SAR) data. Surface and volume are the dominant scattering components in wet-snow conditions. The generalized four component polarimetric decomposition with unitary transformation (G4U) based generalized surface and volume parameters are utilized to invert snow surface and volume dielectric constants using the Bragg coefficients and Fresnel transmission coefficients respectively. The snow surface and volume wetness are then estimated using an empirical relationship. The effective snow wetness is derived from the weighted averaged surface and volume snow wetness. The weights are derived from the normalized surface and volume scattering powers obtained from the generalized full-polarimetric SAR decomposition method. Six Radarsat-2 fine resolution full-polarimetric datasets acquired over Himachal Pradesh, India along with the near-real time in situ measurements were used to validate the proposed model. The snow wetness derived from the SAR data by the proposed model with in situ measurements indicated that the absolute error at 95% confidence interval is 1.3% by volume.     

TanDEM-X双站SAR干涉测量及研究进展

较全面、系统地介绍了Tan DEM-X/Terra SAR-X双站SAR科学计划,重点涉及其科学目标、Tan DEM-X卫星参数、轨道结构以及干涉数据获取模式等相关内容,并讨论了双站SAR成像、极化In SAR和数字波束成形等干涉测量新技术及其研究进展。这些双站SAR新技术的实现将大大地推动SAR干涉测量在全球地形测绘、冰川学、海洋学及地质学等领域中的应用。     

合成孔径雷达森林资源监测技术研究综述

合成孔径雷达（Synthetic Aperture Radar,SAR）技术凭借其全天时、全天候的成像能力以及对森林垂直结构信息敏感的特点,在森林资源监测中具有独特的优势,已成为当前森林资源遥感调查技术的研究热点.本文首先介绍了SAR森林资源监测技术的发展背景、发展轨迹和相关知识;然后,重点阐述了极化SAR、干涉SAR、极化干涉SAR和层析SAR在林地覆盖类型分类、变化检测以及森林参数定量化估测应用中的技术方法;最后,就SAR在森林资源监测研究和应用中存在的问题与发展趋势进行了总结与展望.     

基于雷达和微波辐射计的湖北省冷季“高架雷暴”特征分析

利用常规观测、加密自动气象站、三维闪电定位仪、天气雷达和地基微波辐射计资料等,对湖北冷季（2014年11月）发生的3次高架雷暴过程进行了分析。（1）3次过程发生在地面冷锋后部地面冷气团中,主要以短时强降水和频繁的雷电活动为主,是典型的冷季“高架雷暴”,对流区位于地面冷锋后部500 km左右。（2）地面到925 hPa的冷垫,迫使暖湿气流爬升,在925 hPa逆温层附近触发对流,冷垫之上西南暖湿气流越强,对流越旺盛,雷达径向速度剖面可以明显看到1 km之下的冷垫。（3）冷季高架雷暴雷电活动剧烈,CG（地闪）占总闪比例60%以上,而+CG则占CG的40%左右,闪电频次和降水有很好的时空对应关系,CG出现在较强降水中心附近及周围,IC和CG突增对降水均有一定的时间提前量。CG更靠近强回波中心,且和≥30 dBZ的回波位置对应较好,IC则分布在雷暴单体外侧回波强度≥15 dBZ的区域。0 ℃等温线以上的（最大）回波强度达到43 dBZ以上或者18 dBZ回波顶高超过7.5 km是湖北冷季高架雷暴是否发生雷电的重要预警因子。（4）地基微波辐射计温度、湿度廓线和探空曲线基本吻合,可以看到明显的冷垫、逆温层及西南急流。基于微波辐射计资料计算的不稳定指数变化特征对冷季高架雷暴的短临预报有重要的实际应用价值。当A指数、TT指数、K指数和T_850-500出现快变抖动时,伴随抖动加剧可以判断将会有雷暴天气发生,当波动曲线开始下降并变得平稳,表示雷暴减弱消亡;θ_{se 850}在雷暴出现后跃增并在320 K附近抖动,雷暴结束后下落到290 K的平稳状态;T_d850在雷暴活跃阶段近乎为0 ℃;T_850-500在雷暴发生前是一个缓慢下降的过程,雷暴结束后大气趋于稳定。      

Geostatistical analysis of soil moisture measurements and remotely sensed data at different spatial scales

The European remote sensing satellite (ERS-2) synthetic aperture radar (SAR) data was used for temporal monitoring of soil moisture at Sukhothai, Thailand. Higher correlations were found between the observed soil moisture and the radar backscattering coefficient. The soil moisture distribution shows great variation in space and time due to its stochastic nature. In order to obtain a better understanding of the nature and causes of spatial variation of soil moisture, the extensive soil moisture measurements observed in Thailand and also remotely sensed ERS-2 SAR data were used for geostatistical analysis. The observed soil moisture shows seasonal variations with mean varying from 3.33 %v/v (dry season) to 33.44 %v/v (wet season). The spatial geostatistical structure also shows clear seasonal variations in the geostatistical characteristics such as range and sill. The sills vary from 1.00 (%v/v)² for the driest day to 107.57 (%v/v)² for one of the wet days. The range or the correlation lengths varies between 46.5 and 149.8 m for the wettest and driest periods. The nugget effect does not show strong seasonal pattern or trend but the dry periods usually have a smaller nugget effect than the wet periods. The spherical variogram model fits the sample variograms very well in the case of soil moisture observations while the exponential model fits those of the remotely sensed data. The ranges observed from the observed soil moisture data and remotely sensed data at the same resolution are very similar. Resolution degradation affects the geostatistical structure of the data by reducing the sills, and increasing the ranges.     

高分辨率机载SAR影像判读实验

近年来机载SAR系统在国内得到快速发展。由于SAR系统具有不同于光学传感器的成像机理,因而可以提供全新的数据获取手段和不同的地物信息。利用高分辨率机载SAR影像进行解译时必须熟悉其成像机理和图像信息特点,充分了解SAR图像解译标志的特点和各类地物的解译规律。本文以高分辨率机载SAR数据为基础,对比光学影像,从SAR成像特点和地物散射特性出发,对SAR影像进行了目视解译,分析了SAR影像在地形地物要素识别中的应用潜力。