Remote sensing of ocean waves by polarimetric SAR

A new method to measure ocean wave slope spectra using fully polarimetric synthetic aperture radar (POLSAR) data was developed without the need for a complex hydrodynamic modulation transform function. There is no explicit use of a hydrodynamic modulation transfer function. This function is not clearly known and is based on hydrodynamic assumptions. The method is different from those developed by Schuler and colleagues or Pottier but complements their methods. The results estimated from NASA Jet Propulsion Laboratory (JPL) Airborne Synthetic Aperture Radar (AIRSAR) C-band polarimetric SAR data show that the ocean wavelength, wave direction, and significant wave height are in agreement with buoy measurements. The proposed method can be employed by future satellite missions such as RADARSAT-2.

极化SAR图像海面船只监测方法研究

船只监测不论是在民用还是军用方面都有广阔的应用前景。极化合成孔径雷达（PolSAR）可以测量目标的极化散射特性，能够提高舰船检测的准确度和分类精度。论文以工程应用为背景，以深刻理解PolSAR图像成像原理及理论为基础，重点围绕PolSAR图像船海对比度增强和海上目标识别等方面开展了研究。 本文在文献综述的基础上，全面分析了单极化和PolSAR图像舰船目标检测的研究现状。在现有的PolSAR图像目标检测方法基础上，针对双极化数据首次提出二维卷积方法提高船海对比度；针对全极化数据改进广义最优化方法，构造极化特征向量，将回波强度和极化散射特征有机结合，提高船海对比度。上述两种方法能解决船只回波强度和海面回波强度相近或高海况下船目标检测问题。将聚类方法应用到海上目标识别中，采用非监督分类-模糊聚类可以将船只、海上人造目标、船尾迹等识别开来，在海上目标识别方面将有广阔的应用前景。 应用极化电磁波基本理论，将极化熵概念应用到船只监测。首次采用Bragg模式和双尺度模式分析两种不同极化熵随着入射角、波数和风场的变化情况，从而确定在低风速下Cloude熵相对Touzi熵更适合船只监测。

支持SAR系统高分辨率实时成像的实时系统解决方案

随着信息技术的发展 ,用于军事、地理、自然灾害扫描探测的合成孔径雷达系统 (SAR)对其成像能力的分辨率和实时显示要求越来越高 因此 ,研究具有自主知识产权的、可以实时处理高分辨率成像的实时系统迫在眉睫 针对实时数据接收、存储、显示和处理等核心问题 ,提出了一种实时系统解决方案 该方案通过对Linux内核的实时扩展 ,实现了可达到高处理机利用率的多任务实时调度方法 ,可支持混成调度 ;在应用层实现符合实时需求的功能模块 ;为DSP板开发实时驱动 ,形成了从硬件驱动层和操作系统层 ,直到应用软件层的完整实时计算体系

基于RTLinux构建机载SAR实时成像处理器嵌入式控制系统

面向地学处理的机载SAR实时成像处理器由一组连接在工业总线上的数据处理板和一个嵌入式主控子系统构成 ,成像处理器的总体设计对主控系统的实时性、稳定性及可扩展性提出了严格的要求 比较了传统的嵌入式工业控制系统的设计方法 ,设计并实现一个基于廉价的PC与RTLinux的主控系统 ,分析了主控系统的两个重点 :DSP宿主环境和RTLinux下的混合任务集 ,并通过给出一个RTLinux与Linux调度精度和误差的对比试验及其结果 ,证明了基于RTLinux的主控系统对支持细粒度调度方面的优越性

机载SAR实时成像系统中的数据可视化研究

SAR实时成像系统在国防等很多领域都有着重要的应用 ,系统对数据可视化方面的要求也越来越高 ,但目前国内对SAR实时成像系统的数据可视化方面的研究还不多 提出了一种针对SAR实时成像系统的新的数据可视化方案 ,并已在实际的飞行成像中得到了检验 新方案实时提供的信息更全面、更直观、可分析性更强 ,具有较强的信息表现能力和双向实时交互能力 ,能够较好地辅助对图像的在线分析 还对方案的重要组成部分———缩略图的原理和实现算法做了概括介绍

Optical dating of Holocene sand dune activities in the Horqin sand-fields in inner Mongolia；China；using the SAR protocol

IEECAS SKLLQG

Improving Ship Detection with Polarimetric SAR based on Convolution between Co-polarization Channels

The convolution between co-polarization amplitude only data is studied to improve ship detection performance. The different statistical behaviors of ships and surrounding ocean are characterized a by two-dimensional convolution function (2D-CF) between different polarization channels. The convolution value of the ocean decreases relative to initial data, while that of ships increases. Therefore the contrast of ships to ocean is increased. The opposite variation trend of ocean and ships can distinguish the high intensity ocean clutter from ships' signatures. The new criterion can generally avoid mistaken detection by a constant false alarm rate detector. Our new ship detector is compared with other polarimetric approaches, and the results confirm the robustness of the proposed method.

Validation of RADARSAT-2 fully polarimetric SAR measurements of ocean surface waves

C band RADARSAT-2 fully polarimetric (fine quad-polarization mode, HH+VV+HV+VH) synthetic aperture radar (SAR) images are used to validate ocean surface waves measurements using the polarimetric SAR wave retrieval algorithm, without estimating the complex hydrodynamic modulation transfer function, even under large radar incidence angles. The linearly polarized radar backscatter cross sections (RBCS) are first calculated with the copolarization (HH, VV) and cross-polarization (HV, VH) RBCS and the polarization orientation angle. Subsequently, in the azimuth direction, the vertically and linearly polarized RBCS are used to measure the wave slopes. In the range direction, we combine horizontally and vertically polarized RBCS to estimate wave slopes. Taken together, wave slope spectra can be derived using estimated wave slopes in azimuth and range directions. Wave parameters extracted from the resultant wave slope spectra are validated with colocated National Data Buoy Center (NDBC) buoy measurements (wave periods, wavelengths, wave directions, and significant wave heights) and are shown to be in good agreement.