多极化SAR溢油探测影响因素分析研究     

宋莎莎  赵朝方  安伟  李晓峰  王臣 《海洋学报(英文版)》2018,37(11):77-87

Polarimetric synthetic aperture radar(SAR) oil spill detection parameters conformity coefficient(μ), Muller matrix parameters(|C|, B_0), the eigenvalues of simplified coherency matrix(λ_(nos)) and the influence of SAR observing parameters, ocean environment and noise level are investigated. Radarsat-2 data are used to make systematic analysis of polarimetric parameters for different incidences, wind speeds, noise levels and the ocean phenomena(oil slick and look likes). The influence of the SAR observing parameters, the ocean environment and the noise level on the typical polarimetric SAR parameter conformity coefficient has been analyzed. The results indicate that conformity coefficient cannot be simply used for oil spill detection, which represents the image signal to the noise level to some extent. When the signals are below the noise level for the oil slick and the look likes, the conformity coefficients are negative; while the signals above the noise level corresponds to positive conformity coefficients. For dark patches(low wind and biogenic slick) with the signal below the noise,polarization features such as conformity coefficient cannot separate them with oil slick. For the signal above the noise, the oil slick, the look likes(low wind and biogenic slick) and clean sea all have positive conformity coefficients, among which, the oil slick has the smallest conformity coefficient, the look likes the second, and the clean sea the largest value. For polarimetric SAR data oil spill detection, the noise plays a significant role. So the polarimetric SAR data oil spill detection should be carried out on the basis of noise consideration.  相似文献   

基于纹理特征的围填海SAR图像分水岭分割方法          下载免费PDF全文

王衍  许小贝  洪海凌 《海洋学研究》2018,36(2):44-49

本文提出了一种基于纹理特征的围填海SAR图像分水岭分割方法,首先对机载MiniSAR图像进行灰度共生矩阵纹理滤波,获得纹理特征图像,再对纹理特征图像进行分水岭算法分割,将获得的形态学重建图像进行门限阈值分割,得到最后的二值化分割结果。该方法一方面通过调整灰度共生矩阵纹理滤波的窗口大小,抑制了斑点噪声的影响;另一方面,利用分水岭算法对边缘模糊杂乱图像的优势,提高了围填海信息提取的准确性。实验结果表明,本方法对高分辨率SAR图像围填海监测图像的分割效果良好。  相似文献   

基于结构特征的SAR船只类型识别能力分析   总被引：3，自引：0，他引：3  

张晰  张杰  纪永刚  孟俊敏 《海洋学报》2010,32(1):146-152

1 引言 SAR是船只探测的有效手段,利用SAR影像不仅可以检测船只目标,而且还可以提取船只的长度、宽度以及航速、航向等信息.随着星载SAR空间分辨率的提高,使基于星载SAR影像的船只类型识别成为可能.利用星载SAR可以检测出大面积范围内的船只和初步识别其类型.  相似文献   

基于SAR快速提取浒苔信息应用研究   总被引：7，自引：1，他引：6  

蒋兴伟  邹亚荣  王华  朱海天 《海洋学报》2009,31(2):63-68

2008年6月以来青岛近海出现的大面积浒苔对青岛奥帆赛场造成严重影响。如何快速、准确地发现浒苔,对治理浒苔具有显著的指导作用。采用卫星遥感数据,尤其是SAR数据对浒苔进行监测,运用一种基于区域增长面向对象的影像尺度分割方法,调整影像的分割尺度,快速提取浒苔信息,在浒苔遥感监测中效果显著。  相似文献   

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张建国  刘晓灿  唐庭梅  马新欣  袁亚红 《大地测量与地球动力学》2009,29(5):47-50

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Deriving Changjiang coastal zone wind from C-band SAR and its application to salinity simulation     

王利花  周云轩  朱建荣  沈芳  田波 《中国海洋湖沼学报》2014,32(4):946-957

Wind plays an important role in hydrodynamic processes such as the expansion of Changjiang （Yangtze） River Diluted Water （CDW）, and shelf circulation in the Changjiang estuary. Thus, it is essential to include wind in the numerical simulation of these phenomena. Synthetic aperture radar （SAR） with high resolution and wide spatial coverage is valuable for measuring spatially inhomogeneous ocean surface wind fields. We have collected 87 ERS-2 SAR images with wind-induced streaks that cover the Cbangjiang coastal area, to verify and improve the validity of wind direction retrieval using the 2D fast Fourier transform method. We then used these wind directions as inputs to derive SAR wind speeds using the C-band model. To demonstrate the applicability of the algorithms, we validated the SAR-retrieved wind fields using QuikSCAT measurements and the atmospheric Weather Research Forecasting model. In general, we found good agreement between the datasets, indicating the reliability and applicability of SAR- retrieved algorithms under different atmospheric conditions. We investigated the main error sources of this process, and conducted sensitivity analyses to estimate the wind speed errors caused by the effect of speckle, uncertainties in wind direction, and inaccuracies in the normalized radar cross section. Finally, we used the SAR-retrieved wind fields to simulate the salinity distribution off the Changjiang estuary. The findings of this study will be valuable for wind resource assessment and the development of future numerical ocean models based on SAR images.  相似文献   

差分InSAR处理及其应用分析   总被引：5，自引：0，他引：5  

张景发  李发祥  刘钊 《地球信息科学学报》2000,2(3):58-64

本文结合实例分析和介绍了影响In SAR处理结果的几个重要环节。如: 数据源及像对选择 ;影响In SAR处理的因素等。目前有4～5种雷达卫星数据可以用于In SAR的处理,ERS-1/2卫星数据效果最好; 差分In SAR处理的工作步骤中,亚像元精度的配准、相干性分析、全相位恢复等是其中的关键技术。In SAR的精度和噪声水平是In SAR能否实用的重要条件,噪声影响地物的相干性,噪声较大部位相干性消失,在整幅图像中噪声区域不大于30% ,将不影响整体的In SAR测量结果。  相似文献   

基于支持向量机的岩石薄片图像分割   总被引：4，自引：0，他引：4  

张杰  滕奇志  王正勇 《成都信息工程学院学报》2007,22(2):186-189

支持向量机是对传统学习分类方法的一个良好替代,特别是小样本、高维的情况下,有着良好的泛化能力,利用支持向量机良好的分类特性,将图像分割的问题转化为分类问题,对岩石薄片图像进行分割实验.通过实验表明：支持向量机对于分割颜色分布不均匀、边缘模糊的岩石薄片图像,有很好的应用前景.  相似文献   

Alternative Fuzzy Cluster segmentation of remote sensing images based on Adaptive Genetic Algorithm     

Jing Wang  Jilong Tang  Jibin Liu  Chunying Ren  Xiangnan Liu  Jiang Feng 《中国地理科学(英文版)》2009,19(1):83-88

Remote sensing image segmentation is the basis of image understanding and analysis. However, the precision and the speed of segmentation can not meet the need of image analysis, due to strong uncertainty and rich texture details of remote sensing images. We proposed a new segmentation method based on Adaptive Genetic Algorithm (AGA) and Alternative Fuzzy C-Means (AFCM). Segmentation thresholds were identified by AGA. Then the image was segmented by AFCM. The results indicate that the precision and the speed of segmentation have been greatly increased, and the accuracy of threshold selection is much higher compared with traditional Otsu and Fuzzy C-Means (FCM) segmentation methods. The segmentation results also show that multi-thresholds segmentation has been achieved by combining AGA with AFCM.  相似文献   

Precise, automatic and fast method for vanishing point detection   总被引：1，自引：0，他引：1  

Mahzad  Kalantari  Franck  Jung  Jeanpierre  Guedon 《The Photogrammetric Record》2009,24(127):246-263

A new automated approach for vanishing point detection in images of urban scenes is described. This method is based on the theorem of Thales. The main contribution of this paper is the automatic and simultaneous detection of all vanishing points of the image, achieved by converting this problem into the detection of circles in a complex cloud of points, in which each point corresponds to a segment and is associated with an uncertainty. This extraction of circles uses a RANSAC method, modified to improve its speed by using accumulation techniques (Hough transform or otherwise). This robust estimation is then refined by least squares error propagation using the individual variances of each segment. The algorithm is robust, its accuracy is optimised and it is entirely automatic. Its successful operation has been tested on a large number of images of varied urban scenes.  相似文献