SAR干涉测量的相干性特征分析及积雪划分

雪盖面积是高山地区和季节雪盖区水文,气象模型的重要输入因子.SAR干涉测量不仅能够生成高精度的DEM,而且能够通过重复轨道雷达信号的相干性来探测地表覆盖的变化.通过分析比较四景重复轨道ERS-1/2的SAR图像发现,裸岩,裸地,灌丛等未受到扰动的地表相干性高,湖面,雪盖等变化明显的地表相干性低.积雪覆盖后的表面,其相干性急剧隐低,利用其相干性特征可以进行积雪划分.根据上述特性,利用地物的散射强度和SAR重复轨道的相干测量进行雪盖划分,分类精度达到82%,结果表明利用SAR干涉测量的相干性特征进行雪盖制图是可行的.     

航天飞机极化干涉雷达数据反演地表植被参数

利用基于极化干涉测量的基本原理和相干散射模型。提出了基于模拟加温-退火算法的极化干涉雷达数据地表植被参数的反演算法，首先，对极化干涉测量的基本原理和一个考虑了地表和植被散射的二层相干散射模型进行了阐述。接着，对模拟退火算法的基本理论和基于模拟加温-退火算法的地表植被参数反演模型进行了论述，最后，利用和田地区1994年10月9日和10日的航天飞机SIR-CL波段单视散射短阵复数据进行了地表植被参数反演的计算，将反演结果与实测数据比较，表明该反演算法能以较好的精度获取地表植被的高度。     

Identification of potential subsidence related to pumping in the Almería basin (SE Spain)

Ground subsidence of detrital deposits in the Almería basin (SE Spain) was studied using the remote sensing technique of Differential Interferometry SAR (DInSAR). This basin is one of the most arid in Europe, receiving an average rainfall of 250 mm per year. Over the last 60 years the region has experienced an enormous agricultural and urban expansion, whose water demand has been largely supplied from groundwater, leading to the current situation of overexploitation of water resources. This paper outlines the likely relationship between groundwater abstraction and subsidence. To this end, 34 ERS and Envisat images, taken between 2003 and 2009, were analysed to estimate ground surface deformations, and hence, compared with water table variations measured in a number of piezometers in the basin. The analysis shows a clear parallelism between the variations in piezometric level and deformation of the ground surface. In addition, the zones of greatest subsidence coincide with those areas where groundwater abstractions are concentrated. Subsidence over the examined period varies from 10 to 30 mm, with extreme values as high as 50 mm, which translates to a rate of between 1·7 and 5 mm/year, reaching maximum rates of 8 mm/year at some points. Given such subsidence rates, damage to urban infrastructures are, for the moment, incipient. Copyright © 2011 John Wiley & Sons, Ltd.     

一种新的INSAR干涉条纹图滤波方法

干涉条纹图滤波是合成孔径雷达干涉测量处理中不可缺少的重要环节.对干涉条纹图滤波的一个重要要求是在有效抑制噪声的同时尽可能地保持条纹的跳变纹理信息.在分析干涉条纹图一阶差分的分布性质和三种当前最常用干涉条纹图滤波的算法的优缺点的基础上,提出基于椭圆方程的干涉条纹方向检测方法,并基于此推导了基于误差方程的用于表述不同方向的像素与滤波窗口中心像素的相关关系的加权模型,以此加权模型修正窗口均值滤波和圆周期均值滤波,得到新的保边缘的滤波器.接着分析了新滤波器的计算复杂度和不同权函数对滤波结果的影响.以此新的椭圆加权的保边缘滤波器处理了河北尚义地区的ERS-1/2合成孔径雷达数据,证明了本文提出的新滤波算法具有噪声抑制效果好,边缘信息保持能力强,计算速度快和可灵活配置等优点.     

基于SB-DInSAR时间序列探测地震形变过程的研究

对2009年4月6日意大利拉奎拉6.3级地震9景ENVISAT重轨单视复数据采用双轨模式进行小基线（SB）干涉处理,获得了此次地震的SB-DInSAR时间序列干涉图、位移场以及位移速度场。结果表明：1)地震位移场形变过程为由震前的缓慢变化到震后的加速运动,速度明显由慢到快;2）震中以西为大面积隆起区,最大隆起量为140 mm;震中以东为大面积下沉区域,但形变集中在破裂区,主要在发震过程及震后形成,最大沉降量达185 mm;3）地震产生的破裂主要沿震中的东南方向传播,集中在约13.4 km×7.6 km、方向约135°的椭圆形区域内。     

卫星雷达干涉测量原理与应用

本文综述卫星雷达干涉测量和差分干涉测量的基本原理及其应用。文章从比较雷达干涉测量与一般航测遥感的基本差别出发 ,介绍各种干涉模式下的雷达干涉测量原理、差分干涉测量原理和数据处理流程。在简要叙述雷达干涉测量应用领域后 ,重点列出 INSAR在地形测量、火山地形测量和 D- INSAR在地形沉降监测中的应用。最后 ,本文还探讨了存在的问题和应用前景。     

雷达干涉PS网络的基线识别与解算方法

时序雷达干涉图中的永久散射体(PS)可看作“天然GPS点”, 以构成网络用于监测长期的地表形变. 本文提出采用邻接矩阵拓扑模型对基于Delaunay剖分算法生成的PS网络进行基线识别, 并采用时序相干最大化算法求解PS基线的线性形变速度增量和高程误差增量. 该数据模型和计算方法被应用于探测香港地区2006~2007年间的区域地表沉降. 实验研究采用由Envisat卫星ASAR传感器对该地区成像所获取的时序SAR影像作为数据源, 并联合该地区12个GPS连续运行参考站的观测数据予以大气修正和地面控制. 实验结果表明, 该模型和方法应用于地表形变测量是有效的和可靠的, PS网络方法探测地面沉降的精度约为±2.0 mm/a.     

利用PSInSAR时间序列研究拉奎拉地震位移场变化特征

对2009年4月6日意大利拉奎拉(LAquila)Mw6.3级地震9景ENVISAT重轨单视复数据采用双轨模式进行永久散射体(Persistent Scatterer,PS)处理,获得了此次地震时序位移场,结合PS位移场Delaunay算法数值分析,结果表明:1)Envisat干涉雷达完整而清晰地探测到了地震前后位移场变化过程及其在不同阶段与震源断裂相关的不同形变特征:震前蠕动位移-明显变形-震期快速突变-震后量级明显减缓的持续变形;2)在此次分析的约54×59km2区域内,震中以西为大面积上升区,视线向最大上升量为130mm;震中以东为下降区域,但下降集中在破裂区,主要在发震过程及震后形成,视线向最大下沉量为210mm,与GPS监测结果一致;3)地震产生的破裂主要分布在约22×14km2范围内,沿NW走向、SW倾斜的Paganica-S.Demetrio正断层展布,方向约135°;4)本文为探索利用PSInSAR时间序列进行地震趋势预测提供了一个较好的案例.     

Land subsidence along the Ionian coast of SE Sicily (Italy), detection and analysis via Small Baseline Subset (SBAS) multitemporal differential SAR interferometry

The paper presents the results of a multi‐temporal, differential interferometric synthetic aperture radar (DInSAR) analysis aiming to identify active surface deformation phenomena in south‐eastern Sicily. The study area has been chosen because of its strong seismicity, high concentration of industrial and agricultural activities, and high density of people living in the coastal area. Furthermore, the morphology, lithology and climatic features of this sector of the Hyblean foreland are suitable for an interferometric analysis, providing a high coherence over the area. The Small BAseline Subset (SBAS) multitemporal DInSAR technique was used to calculate mean ground velocity maps and displacement time series from a large data set of European Remote Sensing Satellites (ERS 1–2) images spanning the time period 1992–2000. The reliability of the DInSAR results was tested calculating the East_SAR and Up_SAR values over two permanent global positioning system (GPS) stations in the area, and comparing them with the East_GPS and Up_GPS values. The residuals between GPS and DInSAR velocities were 1 and 0.6 mm/yr for the Up and East components, respectively. Four main subsiding areas, previously undetected, have been identified, corresponding with the towns of Augusta, Siracusa, Priolo, and Villasmundo. The observed deformation phenomena are located within coastal structural basins, filled with Pleistocene and Holocence deposits, except the Villasmundo land subsidence, which is located on the Hyblean plateau. The measured deformation rates reach values up to ?18 mm/yr in Augusta, –6 mm/yr in Siracusa, –5 mm/yr in Villasmundo and ?4.5 mm/yr in Priolo. The examination of velocity profiles, time series, and geological data allows us to relate all the detected deformation patterns primarily to groundwater over‐exploitation. A multi‐dimensional interpolation with kriging was performed to obtain a field subsidence map. A first‐order elastic deformation model was used to simulate the peculiar features of the Villasmundo subsidence. Copyright © 2011 John Wiley & Sons, Ltd.