多波段海洋内波SAR图像特征分析   总被引：1，自引：0，他引：1  

范开国  黄韦艮  贺明霞  傅斌 《海洋通报》2008,27(6)

利用 SIR-C/X-SAR 南海海域多波段数据,分析了海洋内波 SAR 图像特征与雷达波段的关系.对上升型和下降型的海洋内波 SAR 图像,内波图像特征在 X 波段最为明显,C 波段次之,L 波段最弱.利用布拉格共振散射理论分析了内波图像特征在不同波段存在差异的原因.基于 M4S 海面微波成像仿真软件,模拟分析了不同波段的海洋内波 SAR 图像特征,模拟分析结果与数据分析结果吻合较好.  相似文献   

D—InSAR三轨法监测城市地表沉降的研究     

胡波  蒋弥  王兴旺  孙倩 《测绘工程》2009,18(2):46-50

差分干涉测量（DInSAR）技术是合成孔径雷达（SAR）卫星应用的一个拓展。雷达图象的差分干涉可用于监测厘米级或更微小的地表形变，以揭示许多物理现象，如地震形变、火山运动、大气变化、冰川漂移、地面沉降以及山体滑坡等。实验选取典型的上海市地面沉降场作为研究对象，使用三幅欧洲空间局ERS1和ERS2的C波段数据，采用三轨法，成功提取了上海市相隔20个月的地面沉降图。  相似文献   

坐标转换在隐蔽物探测定位中的应用     

张子善  李杨寰  张汉华  黎向阳 《测绘与空间地理信息》2009,32(5):196-199

以基于低空平台的超宽带合成孔径雷达（UWB SAR）探测隐蔽物为应用背景,结合GPS RTK（Real Time Kinetic）技术,提出并详细分析了一种简便实用的对平台进行高精度、高动态运动补偿的GPS坐标转换方法。利用转换后的坐标和雷达回波数据对探测区成像,并对目标进行大地坐标定位,最后通过实验结果验证了本文所提方法的有效性。  相似文献   

改进Frost算子在SAR图像斑点噪声抑制中的应用     

杨婧玮  李贺  王智超 《测绘学院学报》2009,(4)

针对合成孔径雷达(SAR)图像斑点噪声滤波的重要性以及存在的问题,对Frost滤波算法参数进行分析,指出了该算法等权滤波器在处理含有细节结构特征时存在盲目平滑的缺点,进而提出了改进方法。利用灰度差值计算权值,综合考虑滤波窗口内的强度信息,在一定程度上解决了盲目平滑的问题。实验验证了改进算法的有效性,并以斑点噪声指数和边缘保持指数为评价准则,通过与Frost算法比较,对改进算法在去除噪声和边缘保持方面的性能做了客观评价。  相似文献   

干涉技术在天体测量中的应用     

金文敬 《天文学进展》2007,25(4):346-363

介绍了射电、光学和红外波段地面干涉的仪器以及近期的进展,如厘米波段的VLBA、EVLA、SKA等;毫米波段的ALMA、CARMA等;光学波段的Keck、VLTI/PRIMA,CHARA、MarkⅢ、NPOI、LBTI等.叙述了目前干涉技术在空间天体测量中应用的一些研究项目。如射电波段的VSOP、iARISE、RadioAstro;光学波段的HST/FGS、SIM PlanetQuest等.探讨了干涉技术在天体测量中的有关研究课题,并概述了其在我国的发展和应用情况.  相似文献   

Wave Height Estimation from SAR Imagery     

杨劲松黄韦艮  周成虎肖清梅 《中国海洋湖沼学报》2004,22(2):157-161

This paper presents a method developed for estimating wave height from synthetic aperture radar (SAR) imagery without prior assumption of noise distribution. It is based on two-dimenslonal ocean wave spectra retrieved from fully calibrated SAR images. Wen‘s spectrum was used as first-guess wave spectrum in the retrieval process. Comparison of the estimated wave height obtained by this method from two ERS-1 SAR subimages dated 23 July 1994 with in-situ measurements showed that the method works well.  相似文献   

A study of SAR remote sensing of internal solitary waves in the north of the South China Sea:I.Simulation of internal tide transformation   总被引：2，自引：1，他引：1  

FAN Zhisong  ZHANG Yuanling  SONG Mei 《海洋学报(英文版)》2008,27(4)

For settlement of the well-known problem of contemporary radar imaging models,i.e.,the pmblem of a general underestimation of radar signatures of hydrodynamic features over oceanic internal waves and underwater bottom topography in tidal watels at at high radar frequency bands(X-band and C-band),the impact of the ocean surface mixed layer turbulence and the significance of strat-ified oceanic model on SAR remote sensing of internal solitary waves are proposed.In the north of the South China Sea by utilizing seme observed data of background field the nonlinearity coefficient,the dispersion coefficient,the horizontal variability coefficient and the phase speed in the generalized K-dV equation are determined approximately.Through simulations of internal tide transfor-mation the temporal evolution and spatial distribution of the vertical displacement and horizontal velocity of intereal wave field are obtained.The simulation results indicate that the maximum amplitudes of internal solitary waves occur at depth 35 m,but the maximum current speeds take place at depth 20 m in this area of the sea(about 20°30'N,114°E)in August.It was noticed that considering the effects of flood current and ebb current respectively is appropriate to investigate influence of the background shear flow on coefficients of the K-dV equation.The obtained results provide the possibility for the simulation of SAR signatures of inter-nal solitary waves under considering the impact of ocean surface mixed layer turbulence in the companion paper.  相似文献   

Classifier ensembles for land cover mapping using multitemporal SAR imagery   总被引：3，自引：0，他引：3  

Bjrn Waske  Matthias Braun 《ISPRS Journal of Photogrammetry and Remote Sensing》2009,64(5):450-457

SAR data are almost independent from weather conditions, and thus are well suited for mapping of seasonally changing variables such as land cover. In regard to recent and upcoming missions, multitemporal and multi-frequency approaches become even more attractive. In the present study, classifier ensembles (i.e., boosted decision tree and random forests) are applied to multi-temporal C-band SAR data, from different study sites and years. A detailed accuracy assessment shows that classifier ensembles, in particularly random forests, outperform standard approaches like a single decision tree and a conventional maximum likelihood classifier by more than 10% independently from the site and year. They reach up to almost 84% of overall accuracy in rural areas with large plots. Visual interpretation confirms the statistical accuracy assessment and reveals that also typical random noise is considerably reduced. In addition the results demonstrate that random forests are less sensitive to the number of training samples and perform well even with only a small number. Random forests are computationally highly efficient and are hence considered very well suited for land cover classifications of future multifrequency and multitemporal stacks of SAR imagery.  相似文献   

基于合成孔径雷达交叉极化通道数据的海上目标探测   总被引：1，自引：0，他引：1  

王运华  刘晓燕  李慧敏  张彦敏 《海洋学报(英文版)》2015,34(1):85-93

Azimuth ambiguities(ghost targets) discrimination is of great interest with the development of a synthetic aperture radar(SAR). And the azimuth ambiguities are often mistaken as actual targets and cause false alarms. For actual targets, HV channel signals acquired by a fully polarimetric SAR are approximately equal to a VH channel in magnitude and phase, i.e., the reciprocity theorem applies, but shifted in phase about ± for the first-order azimuth ambiguities. Exploiting this physical behavior, the real part of the product of the two cross-polarized channels, i.e.(S S)HV VH, hereafter called A12 r, is employed as a new parameter for a target detection at sea. Compared with other parameters, the contrast of A12 r image between a target and the surrounding sea surface will be obviously increased when A12 r image is processed by mean filtering algorithm. Here, in order to detect target with constant false-alarm rates(CFARs), an analytical expression for the probability density function(pdf) of A12 r is derived based on the complex Wishart-distribution. Because a value of A12 r is greater/less than 0 for real target/its azimuth ambiguities, the first-order azimuth ambiguities can be completely removed by this A12r-based CFAR technology. Experiments accomplished over C-band RADARSAT-2 fully polarimetric imageries confirm the validity.  相似文献   

基于小波变换和HIS变换的海冰SAR与光学遥感影像融合方法研究   总被引：3，自引：2，他引：1  

刘眉洁  戴永寿  张杰  张晰  孟俊敏  谢钦川 《海洋学报(英文版)》2015,34(3):59-67

Sea ice as a disaster has recently attracted a great deal of attention in China. Its monitoring has become a routine task for the maritime sector. Remote sensing, which depends mainly on SAR and optical sensors, has become the primary means for sea-ice research. Optical images contain abundant sea-ice multi-spectral information, whereas SAR images contain rich sea-ice texture information. If the characteristic advantages of SAR and optical images could be combined for sea-ice study, the ability of sea-ice monitoring would be improved. In this study, in accordance with the characteristics of sea-ice SAR and optical images, the transformation and fusion methods for these images were chosen. Also, a fusion method of optical and SAR images was proposed in order to improve sea-ice identification. Texture information can play an important role in sea-ice classification. Haar wavelet transformation was found to be suitable for the sea-ice SAR images, and the texture information of the sea-ice SAR image from Advanced Synthetic Aperture Radar(ASAR) loaded on ENVISAT was documented. The results of our studies showed that, the optical images in the hue-intensity-saturation(HIS) space could reflect the spectral characteristics of the sea-ice types more efficiently than in the red-green-blue(RGB) space, and the optical image from the China-Brazil Earth Resources Satellite(CBERS-02B) was transferred from the RGB space to the HIS space. The principal component analysis(PCA) method could potentially contain the maximum information of the sea-ice images by fusing the HIS and texture images. The fusion image was obtained by a PCA method, which included the advantages of both the sea-ice SAR image and the optical image. To validate the fusion method, three methods were used to evaluate the fused image, i.e., objective, subjective, and comprehensive evaluations. It was concluded that the fusion method proposed could improve the ability of image interpretation and sea-ice identification.  相似文献