排序方式： 共有45条查询结果，搜索用时 15 毫秒
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对地表粗糙度测定的分析与研究 总被引：21，自引：3，他引：18
通过对裸地和草地两种地表上0.5m, 1.0m, 1.5m和2.0m, 四个不同高度风速的连续整天观测, 并将所测的大量数据进行统计分析, 结果发现测定地表粗糙度的最佳高度是1.5m与2.0m, 最适风速范围是4~6m/s。 相似文献
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Anton Egorov Stanislav Glubokovskikh Andrej Bóna Roman Pevzner Boris Gurevich Mikhail Tokarev 《Geophysical Prospecting》2018,66(1):3-12
Most seismic processing algorithms generally consider the sea surface as a flat reflector. However, acquisition of marine seismic data often takes place in weather conditions where this approximation is inaccurate. The distortion in the seismic wavelet introduced by the rough sea may influence (for example) deghosting results, as deghosting operators are typically recursive and sensitive to the changes in the seismic signal. In this paper, we study the effect of sea surface roughness on conventional (5–160 Hz) and ultra‐high‐resolution (200–3500 Hz) single‐component towed‐streamer data. To this end, we numerically simulate reflections from a rough sea surface using the Kirchhoff approximation. Our modelling demonstrates that for conventional seismic frequency band sea roughness can distort results of standard one‐dimensional and two‐dimensional deterministic deghosting. To mitigate this effect, we introduce regularisation and optimisation based on the minimum‐energy criterion and show that this improves the processing output significantly. Analysis of ultra‐high‐resolution field data in conjunction with modelling shows that even relatively calm sea state (i.e., 15 cm wave height) introduces significant changes in the seismic signal for ultra‐high‐frequency band. These changes in amplitude and arrival time may degrade the results of deghosting. Using the field dataset, we show how the minimum‐energy optimisation of deghosting parameters improves the processing result. 相似文献
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光滑地面毁伤程度评估非常重要,目前评估方法主要是基于光学图像,可是在恶劣的气候或环境条件下,很难获得光学图像,合成孔径雷达（SAR）克服了这个缺点. SAR图像是地表结构和电特征等地球物理参数的映射,通过SAR图像反演地表结构参数,可以推测出光滑地面毁伤程度. 本文以几何光学模型（GOM）为基础,建立神经网络反演模型,以获得光滑地表面受损后的粗糙度参数：表面均方根高度（σ）和表面相关长度（l）,并进一步评估光滑地表面受损程度. 实验结果表明该方法可行. 相似文献
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Yee Leung Tung Fung Ju‐Sheng Mi Wei‐Zhi Wu 《International journal of geographical information science》2013,27(9):1033-1058
This paper proposes a novel rough set approach to discover classification rules in real‐valued spatial data in general and remotely sensed data in particular. A knowledge induction process is formulated to select optimal decision rules with a minimal set of features necessary and sufficient for a remote sensing classification task. The approach first converts a real‐valued or integer‐valued decision system into an interval‐valued information system. A knowledge induction procedure is then formulated to discover all classification rules hidden in the information system. Two real‐life applications are made to verify and substantiate the conceptual arguments. It demonstrates that the proposed approach can effectively discover in remotely sensed data the optimal spectral bands and optimal rule set for a classification task. It is also capable of unraveling critical spectral band(s) discerning certain classes. The framework paves the road for data mining in mixed spatial databases consisting of qualitative and quantitative data. 相似文献
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一种基于Rough集的图像滤波算法 总被引：2，自引：0，他引：2
Rough集理论是一种新的处理含糊和不确定性问题的数学工具。它作为一种软计算方法，与模糊方法、遗传算法、神经网络等一样，是有发展潜力的智能信息处理方法。文中将Rough集理论应用到图像滤波中，提出了一种基于Rough集理论的图像中值滤波算法；给出了该算法与标准中值滤波算法的比较实验。结果表明，该算法去噪能力强于标准中值滤波算法，且能较好地保持图像的边缘细节信息。 相似文献
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从磁场的积分方程出发,应用迭代方法推导了二次迭代条件下粗糙海面的近似电磁散射极化核函数,并对其进行了分析.这种函数的表示是在光学近似即KA近似的基础上的一种扩展形式,因而可称为扩展KA近似(EKA).Elfouhaily采用了与Holliday类似的方法分析了双站配置条件下散射的极化核函数,试图保留所有的高次项,但是由于处理的复杂性他只给出了斜率项在散射项中的表示形式,并称之为KA近似的"补充项".本文在此基础上进一步考虑了Elfouhaily近似的形式,给出了表示双站散射极化核函数的完整表达形式,并以此为基础推算了后向散射条件下极化核函数的理论结果,并与Elfouhaily的结果进行了对比,说明了极化核函数完整表达形式的合理性.近似散射极化核函数的分析对于深入理解粗糙表面(特别是海面)电磁散射特性以及散射近似模型的建立等问题的研究具有重要意义. 相似文献