合成孔径雷达积雪参数反演研究进展

积雪是影响辐射平衡、水资源等全球能量与水循环的重要参数,遥感是监测积雪时空分布特征及其变化趋势的重要手段.合成孔径雷达（SAR）以其全天时、全天候能力,成为积雪遥感中重要的研究方向.本文从SAR与积雪的特性、积雪的散射模型、基于强度和相位信息的积雪参数反演等方面,针对SAR积雪参数反演方法的理论、技术进行总结和分析,指出了目前利用SAR数据反演积雪的研究现状和存在的问题,并对未来的研究方向进行了讨论.     

海洋溢油合成孔径雷达图像特征提取及其关键度分析

就SAR图像溢油检测的方法论而言,用于识别溢油和疑似现象的定性或定量的统计特征量选择,通常是任意的。对于不同的分类模型,所选用的特征量也不尽相同。主要是进行海洋SAR图像特征提取及其关键度分析。其目的是将"最小距离"判别法应用于海上溢油和疑似溢油的识别研究。首先,针对海洋SAR图像溢油检测常用的特征量,进行冗余处理;然后,引入关键系数,定量地研究特征量的关键度,提取显著特征量;藉以构造一个多维的特征矢量空间,以适于最小距离判别法在特征矢量空间中进行溢油和疑似溢油的识别研究。     

层析SAR反演森林垂直结构参数现状及发展趋势

森林垂直结构参数反演是进行森林资源管理、森林蓄积量估算及全球碳循环研究的基础。层析合成孔径雷达TomoSAR(Tomography Synthetic Aperture Radar)是随着InSAR/Pol-InSAR技术的日益发展而产生的,更适用于森林垂直结构参数反演。本文首先介绍了TomoSAR的概念与实现方式:PCT(Polarization Coherence Tomography)、多基线干涉层析SAR MB-InTomoSAR(Multi-baseline Interferometric Tomographic SAR)、多基线极化层析SAR MBPolTomoSAR(Multi-baseline Polarization Tomographic SAR);概括了目前应用TomoSAR技术反演森林垂直结构参数的技术方法与信号模型等;论述了应用TomoSAR技术提取森林垂直结构参数的现状,最后分析了应用TomoSAR技术提取森林垂直结构参数可能的发展方向。     

The Woods Reef (New South Wales) earthquake of 14 November 1990: Focal mechanism derived from amplitude ratios and synthetic seismograms

On the morning of 15 November 1990 local time, Armidale and the area to the west of Armidale was shaken by a magnitude 3.2 earthquake. The epicentre was located at 30.39° S, 150.88° E and the depth of focus at 12 ± 7 km. As the epicentre was close to the Peel Fault an attempt was made to constrain the focal mechanism of this earthquake. The conventional method, which is based on the analysis of P wave polarities, was not applicable because the event was not strong enough. In an alternative method, the amplitudes of various seismic phases recorded at a number of stations well distributed in azimuth were compared with theoretical amplitudes calculated with the reflectivity method for a point shear dislocation in a layered medium. The differences between observed and calculated amplitudes were minimized as a function of fault strike, fault dip and direction of the slip vector. The analysis indicates that none of the possible fault planes had the strike of the Peel Fault. The solution suggests predominantly strike slip motion along two possible, steeply dipping fault planes. The inferred direction of the maximum compressional stress. is east‐west which is in good agreement with other estimates of the stress field for eastern Australia.     

Classification of dual- and single polarized SAR images by incorporating visual features

Fully and partially polarimetric SAR data in combination with textural features have been used extensively for terrain classification. However, there is another type of visual feature that has so far been neglected from polarimetric SAR classification: Color. It is a common practice to visualize polarimetric SAR data by color coding methods and thus it is possible to extract powerful color features from such pseudo color images so as to gather additional crucial information for an improved terrain classification. In this paper, we investigate the application of several individual visual features over different pseudo color generated images along with the traditional SAR and texture features for a novel supervised classification application of dual- and single-polarized SAR data. We then draw the focus on evaluating the effects of the applied pseudo coloring methods on the classification performance. An extensive set of experiments show that individual visual features or their combination with traditional SAR features introduce a new level of discrimination and provide noteworthy improvement of classification accuracies within the application of land use and land cover classification for dual- and single-pol image data.     

A new metric for measuring structure-preserving capability of despeckling of SAR images

In this paper, a new metric called despeckling structure loss (DSL) is proposed for performance assessment of despeckling algorithms with a focus on the preservation of structural features such as edges and textures. The ratio image of a synthetic aperture radar (SAR) image to its despeckled result can clearly indicate the loss of structural features caused by the despeckling process. By taking into account characteristics of the best and worst structure preservation in despeckling, the DSL metric examines the presence of structural features in ratio images by using local correlations between the ratio image and the noise-free reference image at edge points. The DSL is shown to be a monotonic function of structure loss bounded between the best and worst cases, leading an objective and quantitative measure of the structure-preserving capability of despeckling algorithms. Experimental evaluations of the proposed metric have been carried out on simulated SAR images including one generated by SAR raw signal simulator. Despeckled results using five typical algorithms clearly demonstrate the efficiency of the DSL metric. In comparison, the commonly used despeckling metrics including the signal-to-mean-square error ratio, the edge correlation index, the Pratt’s figure of merit, the structural similarity and the equivalent number of looks of ratio images, fail to keep a consistency with the structure loss shown in despeckled results as well as ratio images.     

高温胁迫下坛紫菜的数字基因表达谱研究

坛紫菜是潮间带重要的经济藻种,对高温、渗透压等逆境具有独特的调控机制。本文采用基于高通量测序的数字基因表达谱(DGE)技术研究了坛紫菜在高温胁迫下的基因表达差异,并分析其相应的响应方式;利用实时定量PCR技术对DGE部分数据进行验证;检测了其中较有代表性的应答基因hsp70的差异表达。结果显示,高温胁迫下坛紫菜中有256个unigene上调表达,以HSP、核糖体蛋白L12、延伸因子EF-Tu及部分光合作用相关基因为代表,3 820个unigene下调表达,主要为核酸、蛋白以及糖类等合成代谢相关基因。Gene Ontology分析表明,差异表达基因主要定位于质体等有膜细胞器,参与繁殖和发育过程,行使催化和连接酶活性的功能。Pathway分析显示,这些基因分布于107条pathway中。其中,下调表达基因最显著富集于mRNA监督和RNA转运途径,而上调表达基因部分富集于内质网的蛋白加工、RNA降解及光合作用途径。验证表明此次DGE结果具有较高准确性,hsp70基因对高温响应积极。综上所述,DGE结果反应出,在高温胁迫时,坛紫菜出现基础代谢减慢、合成速度下降、能量合成受阻、碳同化降低等现象,但光合作用前期未受影响,同时补救途径启动。     

基于距平分析的Argo海表温度场重构

提出基于距平分析的Argo海表温度场(SST)重构方法,即在Argo浮标观测点提取温度距平值序列进行Kriging插值生成距平场,并叠加气候态SST的方法重构Argo海温场。以Argo数据相对稀少的2003年8月份和Argo数据相对较多的2012年8月份印度洋海域(60°S—30°N,25°—125oE)为例,重构水平分辨率为1°×1°的海表温度场。分析表明:(1)这种基于距平分析方法重构的海温场与对Argo数据直接Kriging插值获得的结果相比在精度上有大幅提高;(2)重构的温度场与最优插值海表温度场(OISSTV 2.0)的等温线具有高度的一致性,并且在Argo浮标附近海域有更好的细节表现;(3)即使在Argo数据相对稀少的海域,基于距平分析方法重构的海温场也能保持较高的精度要求,包括边缘海域和南大洋极锋附近均有较好表现。     

Nonparametric streamflow simulation by wavelet or Fourier analysis

Abstract

Wavelet or Fourier analysis is proposed as an alternative nonparametric method to simulate streamflows. An observed series is decomposed into its components at various resolutions and then recombined randomly to generate synthetic series. The mean and standard deviation are perfectly reproduced and coefficient of skewness tends to zero as the number of simulations increases. Normalizing transforms can be used for skewed series. Autocorrelation coefficients and the dependence structure are better preserved when Fourier analysis is used, but the mean and variance remain constant when the simulated and observed series have the same length. Monthly as well as annual flows can be simulated by this technique as illustrated on some examples. Wavelet analysis should be preferred as it generates flow series that exhibit a wider range of required reservoir capacities.