雷达遥感六十年：四个阶段的发展

雷达遥感问世60年来已经历了4个阶段的发展,其在对地观测中的作用正日益凸显,已经广泛应用于不同领域。4个阶段分别是单波段单极化阶段,多波段多极化阶段,极化和干涉阶段,以及以双/多站或星座、高时序高分宽幅、3维成像为代表的新阶段。本文结合作者长期在雷达遥感领域的研究经历,总结和回顾了雷达遥感的阶段发展和具有里程碑式的代表性技术;从观测技术、数据处理和应用角度阐述了新阶段雷达遥感的发展趋势,以及雷达遥感与人工智能和大数据结合的思考;最后着眼未来,介绍了月基雷达对地观测平台的前瞻性研究。     

基于Sentinel-1B SAR数据的洪水提取和监测

洪涝灾害是我国最严重的气象灾害之一,及时准确的洪灾监测是防灾减灾的重要前期工作和基础。本文利用sentinel-1B雷达数据,以黑瞎子岛为研究区,联合使用OSTU阈值分割法和随机森林面向对象分类法针对像素统计单波形、双波形、多波形SAR影像提取洪水要素,实现对洪灾淹没面积的时序监测,为灾情监测提供数据和技术支撑。     

基于SAR快速提取浒苔信息应用研究

2008年6月以来青岛近海出现的大面积浒苔对青岛奥帆赛场造成严重影响。如何快速、准确地发现浒苔,对治理浒苔具有显著的指导作用。采用卫星遥感数据,尤其是SAR数据对浒苔进行监测,运用一种基于区域增长面向对象的影像尺度分割方法,调整影像的分割尺度,快速提取浒苔信息,在浒苔遥感监测中效果显著。     

高分辨SAR-GEC影像严密成像几何模型及其应用研究

提出并构建SAR影像GEC(Geocoded Ellipsoid Corrected)产品严密成像几何模型,并在此基础上研究用RPC模型替代SAR影像GEC产品严密成像几何模型的町行性以及基于RPC模型的GEC产品的定向和纠正.最后用TerraSAR-X影像验证其理论和算法,得到如下结论:针对高分辨SAR影像GEC级别产晶的严密成像几何模型能用于SAR影像的定向以及正射纠正.     

基于SAR干涉点目标分析技术的城市地表形变监测

通过深入研究干涉点目标的相位模型,提出基于空间搜索的邻近点目标干涉相位差解缠方法,用以计算点目标的地形残差和线性形变,以及分离点目标大气延迟相位和非线性形变相位的时空域滤波方法,解决干涉点目标分析中的关键问题.最后,以苏州地区地表沉降监测为应用试验,利用形成的SAR干涉点目标形变信息提取技术,获取苏州市区1992-2002年间的地表沉降信息.研究结果与已有文献记录保持比较好的一致性,证明SAR干涉点目标技术完全可以发展成为应用于城市地表形变监测的实用化技术.

Abstract：

Interferometric point target analysis (IPTA) is one of the latest developments in radar interferometric processing. It is achieved by analysis of the interferometric phases of some individual point targets, which are discrete and present temporarily stable backscattering characteristics, in long temporal series of interferometric SAR images. This paper analyzes the interferometric phase model of point targets, and then addresses two key issues within IPTA process. Firstly, a spatial searching method is proposed to unwrap the interferometric phase difference between two neighboring point targets. The height residual error and linear deformation rate of each point target can then be calculated, when a global reference point with known height correction and deformation history is chosen. Secondly, a spatial-temporal filtering scheme is proposed to further separate the atmosphere phase and nonlinear deformation phase from the residual interferometric phase. Finally, an experiment of the developed IPTA methodology is conducted over Suzhou urban area. Totally 38 ERS-1/2 SAR scenes are analyzed, and the deformation information over 3 546 point targets in the time span of 1992-2002 are generated. The IPTA-derivecl deformation shows very good agreement with the published result, which demonstrates that the IPTA technique can be developed into an operational tool to map the ground subsidence over urban area.     

D—InSAR三轨法监测城市地表沉降的研究

差分干涉测量（DInSAR）技术是合成孔径雷达（SAR）卫星应用的一个拓展。雷达图象的差分干涉可用于监测厘米级或更微小的地表形变,以揭示许多物理现象,如地震形变、火山运动、大气变化、冰川漂移、地面沉降以及山体滑坡等。实验选取典型的上海市地面沉降场作为研究对象,使用三幅欧洲空间局ERS1和ERS2的C波段数据,采用三轨法,成功提取了上海市相隔20个月的地面沉降图。     

基于边缘分析的海面溢油检测

提出一种基于边缘检测的快速溢油信息提取方法, 首先对溢油图像进行ROA(radio of average)边缘检测, 根据检测结果进行AOI(area of interest)提取, 然后使用改进的Weibull-CFAR检测算法对AOI进行溢油检测, 并与全局CFAR检测结果进行对比。实验结果证明, 所提出的方法对于非均匀灰度SAR图像溢油检测准确性较好、效率较高, 特别适用于大图像的快速溢油检测。     

Classifier ensembles for land cover mapping using multitemporal SAR imagery

SAR data are almost independent from weather conditions, and thus are well suited for mapping of seasonally changing variables such as land cover. In regard to recent and upcoming missions, multitemporal and multi-frequency approaches become even more attractive. In the present study, classifier ensembles (i.e., boosted decision tree and random forests) are applied to multi-temporal C-band SAR data, from different study sites and years. A detailed accuracy assessment shows that classifier ensembles, in particularly random forests, outperform standard approaches like a single decision tree and a conventional maximum likelihood classifier by more than 10% independently from the site and year. They reach up to almost 84% of overall accuracy in rural areas with large plots. Visual interpretation confirms the statistical accuracy assessment and reveals that also typical random noise is considerably reduced. In addition the results demonstrate that random forests are less sensitive to the number of training samples and perform well even with only a small number. Random forests are computationally highly efficient and are hence considered very well suited for land cover classifications of future multifrequency and multitemporal stacks of SAR imagery.     

地震损毁建筑物的高分辨率SAR图像模拟与分析

为了分析汶川地震震后高分辨率合成孔径(SAR)图像的城区建筑物特征,基于实际获取的机载X波段SAR图像,采用电磁模拟方法进行分析和研究.通过对城区的完整建筑和毁损建筑进行三维建模,采用射线跟踪的电磁计算方法和图像域积分的成像模拟方法得到不同受灾程度的建筑物SAR模拟图像.与真实SAR图像对比分析,提出的算法能够分析建筑物结构变化对SAR图像的影响,模拟主要的强散射点,能有效辅助SAR图像进行城区特征分析.     

UHV/VHF波段SAR对次地表层土壤湿度探测与反演

首先采用一层非球形粒子植被模型,计算各波段矢量辐射传输方程Mueller矩阵一阶散射解,对比微扰法所得各波段地表粗糙面直接后向散射解,结果证明L波段植被层的散射对观测结果仍有影响,与下垫土壤粗糙表面的散射不易分离.因此,宜采用更低频率的UHF和VHF波段,对地表和次地表层能有较大的渗透深度,并可忽略植被层影响.接着,运用矢量辐射传输的3层土壤全极化Mueller矩阵解,计算UHF/VHF波段分层土壤的散射与传输,分析该两波段探测深度的差异,证实UHF波段可探测大致10-60cm深处的土壤湿度,而VHF波段探测深度能更大一些.根据第3层中土壤体湿度变化0.1时能否引起土壤表面观测的后向散射系数变化0.1dB这一判据,分析VHF波段反演第3层土壤体湿度的必要条件,证实当第2层的体湿度较小时(<0.25)才能反演层3的体温度.基于UHF/VHF两波段探测深度的差异,耗散土壤层的贡献有不同的权重,先后采用UHF和VHF,迭代法实现3层土壤湿度廓线反演.误差分析表明,该方法是有意义的.