合成孔径雷达高度计的波形重跟踪与仿真试验分析

基于初步研究获得的合成孔径雷达高度计卷积模型,推导获得合成孔径雷达高度计波形关于时间偏移、合成上升时间、信号幅度3个参数偏导数的卷积计算公式,利用数值积分及傅里叶变换实现合成孔径高度计回波模型的重跟踪。在多个单位联合协同下,利用仿真轨道、对流层、电离层及潮汐等模型生成了合成孔径模式下的回波波形。对比表明,仿真生成的合成孔径模式下的回波波形与CryoSat-2卫星SAR模式下的回波波形整体形状一致。利用仿真波形数据进行重跟踪试验,结果表明在20Hz数据条件下(约350m分辨率),合成孔径模式下的重跟踪精度达到5cm,较之传统模式有一定的提高。     

Forest classification and impact of BIOMASS resolution on forest area and aboveground biomass estimation

The European Space Agency (ESA) is currently implementing the BIOMASS mission as 7th Earth Explorer satellite. BIOMASS will provide for the first time global forest aboveground biomass estimates based on P-band synthetic aperture radar (SAR) imagery. This paper addresses an often overlooked element of the data processing chain required to ensure reliable and accurate forest biomass estimates: accurate identification of forest areas ahead of the inversion of radar data into forest biomass estimates.The use of the P-band data from BIOMASS itself for the classification into forest and non-forest land cover types is assessed in this paper. For airborne data in tropical, hemi-boreal and boreal forests we demonstrate that classification accuracies from 90 up to 97% can be achieved using radar backscatter and phase information. However, spaceborne data will have a lower resolution and higher noise level compared to airborne data and a higher probability of mixed pixels containing multiple land cover types. Therefore, airborne data was reduced to 50 m, 100 m and 200 m resolution. The analysis revealed that about 50–60% of the area within the resolution level must be covered by forest to classify a pixel with higher probability as forest compared to non-forest. This results in forest omission and commission leading to similar forest area estimation over all resolutions. However, the forest omission resulted in a biased underestimated biomass, which was not equaled by the forest commission. The results underline the necessity of a highly accurate pre-classification of SAR data for an accurate unbiased aboveground biomass estimation.     

基于Roberts梯度与HIS色彩空间的SAR图像伪彩色编码

针对SAR灰度影像信息不丰富,不利于解译识别的问题,提出了一种基于Roberts梯度与HIS色彩空间的SAR图像伪彩色编码算法。首先,计算SAR图像的梯度图像,并确定梯度阈值T;然后,比较像素梯度与阈值的大小,大于阈值的像素按照Roberts梯度方法编码,否则按照基于HIS色彩空间方法编码;最后,对两种编码结果进行合成,得到最终伪彩色SAR图像。利用TerraSAR-X影像数据进行了实验验证,结果表明:本文研究的方法均能达到很好的伪彩色编码效果。     

适于窄线三维地震资料的面炮方法

用小孔径波动方程叠前深度偏移完成大面积数据的成像，不仅总的计算量较大，而且成像畸变较严重。为了进行大孔径波动方程叠前深度偏移，必须将实际的小孔径资料合成大孔径资料，并解决大孔径资料的成像方法。AMO等合成孔径方法，数据合成方式简单，但成像方法是近似的且较复杂。面炮方法从理论上讲数据合成方法较简单，成像方法是精确的且较简单，但其应用适用于远道振幅比近道弱很多的情况。在窄线三维地震资料情况，其联络测线方向不易满足面炮应用条件。针对这种情况，本文将最小二乘原理应用于波场成像，提出适用窄线三维地震资料的面炮方法。为了解三维波动方程叠前深度偏移的面炮方法解决复杂油气藏的可行性、所需计算资源和成像效果，我们利用大庆SW地区三维地震资料进行了实验研究。通过研究，我们获得了面炮方法的实际效果，获得了所需计算资源的测试数据。对实际效果的分析对比表明，面炮方法是一种三维波动方程叠前深度偏移的快速方法，有较好应用前景。     

地表水环境质量灰色综合评价方法探讨

该文以国家地表水环境质量标准为准绳 ,运用灰色系统理论方法 ,建立了地表水环境质量综合评判数学模型 ,并给出了应用本模型确定地表水环境质量级别的实例。     

Bathymetric mapping and sub-bottom profiling through lake ice with ground-penetrating radar

Bathymetric mapping of lakes with sonar is essentially limited to the ice-free summer months. Recent developments in ground-penetrating radar technology have greatly increased its portability and capabilities for imaging through fresh water. The suitability of a backpack portable ground-penetrating radar (GPR) system for bathymetric mapping of ice-covered Arctic lakes was investigated by performing grid surveys on three lakes with water depths up to 19 m. It was demonstrated that GPR can now be used to quickly produce high quality bathymetric maps and sub-bottom profiles showing sediment type and lacustrine sediment thickness. While water depths were measured with a precision of ±3%, lacustrine sediment thickness measurements (up to 5 m) had an estimated precision of ±15%.     

关于《模式识别之重心法则及其在地图制图中运用一例》一文的一点注记

本文对重心法则给出了一个扩展,使该法则的运用由综合指标到了全部指标,并证明了 I_G~((1))=I_G~((2))。     

Synthetic isoseismals of two Californian earthquakes

Comparison between the observed and the synthesized isoseismals of the relatively small earthquake of Sierra Madre (1991) and of the big one in San Francisco (1906), California, suggests that sometimes the areal shapes of the territories damaged by earthquakes might be synthetically traced out with a simple kinematic function which, following the asymptotic approach, takes into account some gross features of the sources. The rather good fits presented herein may indicate the possibility of substituting in some regions the so-called empirical attenuation relations, which are currently used in regional seismic hazard studies, by new more source-dependent algorithms. Conversely, the technique could help in retrieving information about sources of earthquakes from the pre-instrumental era, (i) in areas where it could be proved that the effects due to the travel paths and to local site conditions are negligible, (ii) when the detailed modelling techniques nowadays available are inapplicable due to lack of data, or (iii) for saving time and money. It seems that the algorithm gives rather stable results.Formerly: LIVIO SIRO.