排序方式： 共有14条查询结果，搜索用时 15 毫秒
1.
海面溢油无人机高光谱遥感检测与厚度估算方法 总被引：2，自引：0，他引：2
海上溢油是海洋国家所面临的共同问题，但至今仍没有一种可靠实用的海上溢油准确识别和油量遥感监测方法。为此，本文以无人机高光谱遥感为手段，开展了海面溢油检测与厚度估算方法研究。实验中，通过搭建室外大型水槽溢油实验装置，获取了模拟真实海洋环境条件下不同溢油量的遥感和现场光谱数据，在此基础上，分析并提取了海上溢油特征光谱波段，给出了海上溢油高光谱检测模型；针对现场实验条件下水面油膜厚度难以测定的问题，设计了3种利用总体溢油量的油膜厚度估算模型。得到如下主要结论:（1）675 nm和699 nm是海上溢油检测的有效特征波段，但对极薄的油膜没有检测能力；（2）提出了归一化溢油指数模型、反比例模型和吸收基线模型等3种海上溢油油膜厚度估算模型，其中对于薄油膜（厚度≤ 5 μm）和厚油膜（厚度>50 μm），反比例模型是溢油厚度反演的首选也是唯一选择。对于中厚度油膜，晴朗天气条件下，归一化溢油指数模型是油膜厚度反演的首选，同时反比例模型和溢油吸收基线模型也都有较好的反演能力，而在多云天气条件下，反比例模型效果最佳。 相似文献
2.
本文基于水槽溢油观测实验，研究溢油乳化过程中表面散射特性的变化。利用全极化C波段微波散射计和矢量网络分析仪等测量设备对易发生乳化反应沥青含量小于3%的原油（A型油）、油田中开采出的新鲜原油（B型油）和经过脱水去杂质处理的工业原油（C型油）进行观测。文中详细分析了在C波段微波下乳化油膜与平静水面的后向散射差异，以及油膜乳化过程对后向散射的影响，结果显示在低风速、无浪的条件下（最大波高低于3mm），原油的乳化反应可通过表面粗糙度和自身介电常数的变化来调制雷达后向散射，并且这两种方式中表面粗糙度的影响占主导地位。对比B型和C型原油在乳化状态和未乳化状态下的表面后向散射，结果显示在各状态下B型油膜表面后向散射均大于C型油，且在VV、HH、HV/VH极化方式下两者后向散射平均差异分别为2.19 dB、2.63 dB、2.21 dB，在20%油膜含水率的乳化状态下差异较未乳化状态时小，平均差异分别为0.98 dB、1.49 dB、1.5 dB，结果表明不同类型油种间由于成分和油膜属性的不同会在一定程度上导致油膜表面粗糙度存在差异，影响油膜表面后向散射。 相似文献
3.
The Bohai Sea is a low-lying semi-enclosed sea area that is linked to the Yellow Sea via the Bohai straits(mixed zone). Its of fshore seabed is shallow, which makes it vulnerable to serious marine meteorological disasters associated with the northward passage of Pacific tropical cyclones. Analyses on data of remote sensing and buoy of the mixed zone of the Yellow and Bohai seas indicate that all the wind speed, significant wave height, and salinity(SAL) increased, sea surface temperature decreased, and wind energy density changed considerably during the passage of tropical cyclone Matmo on July 25, 2014. It was found that the SAL inversion layer in the mixed zone of the Yellow and Bohai Seas was caused by the tropical cyclone. Furthermore, it was found that the tropical cyclone transported the northern Yellow Sea cold water mass(NYSCWM) into the mixed zone of the Yellow and Bohai Seas. The NYSCWM has direct influence on both the aquaculture and the ecological environment of the region. Therefore, further research is needed to establish the mechanism behind the formation of the SAL inversion layer in the mixed zone, and to determine the influence of tropical cyclones on the NYSCWM. 相似文献
4.
Wave steepness is an important characteristic of a high sea state, and is widely applied on wave propagations at ports, ships, offshore platforms, and CO2 circulation in the ocean. Obtaining wave steepness is a difficult task that depends heavily on theoretical research on wavelength distribution and direct observations. Development of remote-sensing techniques provides new opportunities to study wave steepness. At present, two formulas are proposed to estimate wave steepness from QuikSCAT and ERS-1/2 scatterometer data. We found that wave steepness retrieving is not affected by radar band, and polarization method, and that relationship of wave steepness with radar backscattering cross section is similar to that with wind. Therefore, we adopted and modified a genetic algorithm for relating wave steepness with radar backscattering cross section. Results show that the root-mean-square error of the wave steepness retrieved is 0.005 in two cases from ERS-1/2 scatterometer data and from QuikSCAT scatterometer data. 相似文献
5.
海上原油泄漏在其风化迁移过程中会形成不同浓度的乳化物,严重威胁海洋生态环境。合成孔径雷达(SAR)因其不受雨、云影响,可昼夜监测的优势,在海上溢油监测过程中发挥着主力军的作用,但是它在原油乳化识别方面还存在着不足。本文利用C波段全极化散射计观测原油的自然乳化过程,并利用人工制备的不同含水率的乳化油品模拟原油乳化进程观测油膜后向散射系数(N_(RCS))的变化。实验结果表明乳化原油M_(RCS)高于未乳化原油,且油膜乳化程度越高相应的N_(RCS)越大。通过油水散射差值(Δσ~0)与阻尼比(D_R)发现能够识别乳化与未乳化原油,反映油膜乳化程度的变化,且在VV极化下效果最佳。 相似文献
6.
利用TOPEX高度计风速资料,实现了对太平洋海面粗糙度(z0)的计算。1997~1999年正是厄尔尼诺与拉尼娜事件发生时期,作者研究了1997~1999年z0在ENSO期间的变化后发现:(1)EI Nion发生期间赤道附近z0最大值在A,C,B 3个站点上移动;最小值在B,A 2个站点上移动。(2)Li Nina发生期间赤道附近z0最小值在A站点,最大值主要在B站点上。Li Nina发生期间,1999年15个站点z0均大于正常年份和EI Nion发生期间的15个站点z0。(3)ENSO期间,四季z0与正常年份相比都有显著改变。 相似文献
7.
8.
A new model is proposed to estimate the significant wave heights with ERS-1/2 scatterometer data. The results show that the relationship between wave parameters and radar backscattering cross section is similar to that between wind and the radar backscattering cross section. Therefore, the relationship between significant wave height and the radar backscattering cross section is established with a neural network algorithm, which is, if the average wave period is ≤7s, the root mean square of significant wave... 相似文献
9.
In this paper,we compared the normalized radar cross section in the cases of oil spill,biogenic slicks,and clean sea areas with image samples made from 11-pixel NRCS average,and determined their thresholds of the NRCS of the synthetic aperture radar. The results show that the thresholds of oil and biogenic slicks exhibit good consistency with the corresponding synthetic aperture radar images. In addition,we used the normalized radar cross section of clean water from adjacent patches of oil or biogenic slicks areas to replace that of oil or biogenic slicks areas,and retrieve wind field by CMOD5.n and compare wind velocity mending of oil and biogenic slicks areas with Weather Research and Forecasting modeled data,from which the root mean squares of wind speed(wind direction) inversion are 0.89 m/s(20.26°) and 0.88 m/s(7.07°),respectively. Therefore,after the occurrence of oil spill or biogenic slicks,the real wind field could be repaired using the method we introduced in this paper. We believe that this method could improve the accuracy in assessment of a real wind field on medium and small scales at sea,and enhance effectively the monitoring works on similar oil or biogenic slicks incidents at sea surface. 相似文献
10.
SAR（synthetic aperture radar）图像溢油暗斑准确识别对海上溢油应急工作具有重要的意义。为减少SAR图像特征提取、特征选择过程中人为因素对溢油检测精度的影响,本文将Faster R-CNN卷积神经网络模型引入SAR图像溢油检测并进行了改进。针对溢油暗斑形状多样及SAR图像背景复杂的特点,选用结构一致且实用性强的VGG16卷积网络获取图像特征,并使用软化非极大值抑制算法（Soft-NMS）进行优化。同时基于相同的数据集,提取常用的SAR图像几何特征、灰度特征和纹理特征,构建反向传播（backpropagation,BP）人工神经网络溢油检测方法并与Faster R-CNN方法进行对比。实验结果表明,基于改进Faster-RCNN模型的溢油检测方法溢油检测率达到0.78,且溢油检测虚警率低于0.25,相比BP人工神经网络溢油检测方法样本识别率、溢油检测率分别提高了4%和5%,溢油虚警率降低了5%。 相似文献