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1.
利用平地干涉相位进行INSAR初始基线估计   总被引:6,自引:1,他引:6  
INSAR技术是最有潜力获取高精度DEM的手段之一.在其关键技术中,基线估计是影响最终DEM精度的一个关键因素.通常,较小的基线估计误差将会导致获取的DEM中存在较大的斜坡效应.但是,对于境外等难以获取地面控制点的区域,很难精确地估计出基线参数,从而使获取的DEM误差很大.针对这种情况,从INSAR的基本原理入手,提出了一种新的利用平地干涉相位进行初始基线估计的方法.利用1994年美国NASA航天飞机SIR-C/X-SAR数据和中国科学院电子所机载双天线干涉数据进行了实验,结果表明:该方法适用于无控制地区的基线估计,它无需地面控制点,并且估计出的基线参数比较精确.  相似文献   

2.
何敏  何秀凤 《遥感学报》2008,12(1):23-27
针对目前SAR干涉测量中基线估计现存的问题,提出了利用Kalman滤波和配准参数进行基线估计的方法.所提出的方法具有不需地面控制点、不受地形限制和不依赖于轨道参数等优点,并可以估计时变的基线参数.利用南京地区的ERS-1/2 tandem数据进行了试验研究,并对提出的方法进行了验证.结果表明,在精确的卫星轨道数据和地面控制点不能获取时,所提出的方法仍能有效地估计InSAR基线.这在一定程度上补偿了轨道偏移带来的误差,为获取高精度的DEM奠定了基础.  相似文献   

3.
合成孔径雷达干涉测量技术是一种获取地面数字高程模型(DEM)的新技术.介绍利用InSAR获取DEM的基本流程,阐述相位解缠的理论方法以及基线估计中获取地面控制点的方法与原则,通过实验获取西部某高山地区的DEM,并与SRTM DEM作比较、分析,总结出其存在局限性的原因.  相似文献   

4.
戴国梦  潘斌  刘磊 《测绘学报》1957,49(12):1609-1618
相对于星载和机载SAR而言,使用车载SAR数据提取DEM可有效缩短DEM数据更新周期,降低成本。由于车载SAR平台结构可变,干涉定标需要重复进行,本文提出了基于单控制点的车载双天线干涉SAR的DEM提取方法。该方法基于单个控制点的精确坐标信息进行相位、斜距和高程改正,并实现高程的迭代求解,无需布设大量控制点进行干涉定标,有效简化外业工作。仿真试验证明:当基线长度估计达到毫米级精度,基线倾角估计也达到较高的精度时,可保证该方法较高的DEM提取精度。利用2018年在湖北武汉地区获取的车载双天线干涉SAR数据使用该方法和基于干涉定标的多控制点方法进行DEM提取对比试验,结果表明该方法在检查点的高程中误差为0.301 8 m,多控制点方法为0.258 4 m,在高相干区域,两种方法的DEM结果具有高度的统一性。  相似文献   

5.
靳国旺  吴一戎  向茂生  徐青  秦志远 《测绘学报》2011,40(5):616-622,627
为有效减少大面积、多套干涉数据基线估计所需的地面控制点数量、降低接边处反演高程的差异,提出考虑干涉相位偏置的InSAR区域网平差基线估计方法。采用中国科学院电子学研究所机载InSAR系统获取的多套干涉数据进行了区域网平差基线估计试验,利用少量地面控制点完成了各套干涉数据的基线估计,减小接边处反演高程的差异,验证该基线估计方法的有效性。  相似文献   

6.
利用ERS-1/2重轨干涉SAR数据提取DEM及其精度分析   总被引:7,自引:0,他引:7  
介绍了重轨干涉SAR数据的图像配准、干涉图生成、基线估计及DEM生成的原理,利用1996年获取的西茂玛尼地区的ERS-1/2串行干涉SAR数据提取了DEM。并选控制点计算了所获得的DEM的误差。最后对影响DEM精度的各种因素进行了分析。  相似文献   

7.
一种机载双天线InSAR干涉参数定标新方法   总被引:3,自引:2,他引:1  
干涉参数定标对于机载双天线InSAR系统的大面积高精度数字高程模型获取具有重要意义。为了高效地进行干涉参数定标,从双天线InSAR获取DEM的基本原理出发,构建一种考虑干涉相位偏置、基线长度和基线水平角三个参数的定标新模型,设计该定标模型的未知参数解算方案。利用GPS实测的高程控制点对中国科学院电子学研究所自主研制的机载双天线InSAR系统进行了干涉参数定标实验,统计利用定标后干涉参数反演地面高程的误差,验证该干涉参数定标模型及解算方案。  相似文献   

8.
通过均匀分布在研究区内一定数量的稳定地面控制点的信息,利用最小二乘方法对雷达干涉测量的基线进行精确估计,并用插值方法进行误差反演,实现了干涉测量误差的去除,通过ALOS-PALSAR实际数据的误差去除试验,验证了方法的可行性和有效性。  相似文献   

9.
木林  张继贤  黄国满  赵争 《测绘科学》2011,36(6):121-123,97
本文利用地面控制点对机载双天线雷达系统的基线参数进行估计.首先证实了基线长度的精度与控制点斜距差的精度是同数量级的,然后运用最小二乘法解算控制点的斜距差,并通过干涉相位信息和解缠相位信息对斜距相位差进行精化处理,得到精度较高的斜距相位差参加基线的解算.通过实验表明,该方法获得的基线参数精度较高.  相似文献   

10.
根据SAR干涉测量原理,以配准偏移量为观测值,采用非线性最小二乘迭代法对干涉对的基线进行估计,并以ENVISAT卫星在西藏地区获取的两景SAR数据为例,对此基线估计算法进行实验验证。结果表明,该算法能有效地估计基线,减小轨道不精确带来的误差,在一定程度上提高InSAR生成DEM的精度。  相似文献   

11.
总体最小二乘方法在空间后方交会中的应用   总被引:10,自引:0,他引:10  
在空间后方交会的解算过程中,利用共线条件方程式列出误差方程后,针对地面控制点以及像点坐标均存在误差这一特点,引入总体最小二乘(total least squares,TLS)的方法,对系数矩阵A以及观测向量b同时进行改正,计算像片的6个外方位元素,建立更加合理的计算模型,可获得精度更高、更稳定的解。  相似文献   

12.
In this paper, the digital elevation model (DEM) for a forest area is extracted from multi-baseline (MB) polarimetric interferometric synthetic aperture radar (PolInSAR) data. On the basis of the random-volume-over-ground (RVoG) model, the weighted complex least-squares adjustment (WCLSA) method is proposed for the ground phase estimation, so that the MB PolInSAR observations can be constrained by a generalized observation function and the observation contribution to the solution can be adjusted by a weighting strategy. A baseline length weighting strategy is then adopted to syncretize the DEMs estimated with the ground phases. The results of the simulated experiment undertaken in this study demonstrate that the WCLSA method is sensitive to the number of redundant observations and can adjust the contributions of the different observations. We also applied the WCLSA method to E-SAR L- and P-band MB PolInSAR data from the Krycklan River catchment in Northern Sweden. The results show that the two extracted DEMs are in close agreement with the Light Detection and Ranging (Lidar) DEM, with root-mean-square errors of 3.54 and 3.16 m. The DEM vertical error is correlated with the terrain slope and ground-cover condition, but not with the forest height.  相似文献   

13.
QUALITY CONTROL OF PHOTOGRAMMETRICALLY SAMPLED DIGITAL ELEVATION MODELS   总被引:5,自引:0,他引:5  
The object of this paper is to study the geometric accuracy of photogrammetrically sampled digital elevation models (DEMs)obtained by using an on line graphical DEM editor. As a reference, DEMs obtained by regular grid measurements have been used. Three different test areas are used in the study, each representing different ground types and degrees of homogeneity. The DEMs have been evaluated with respect to their standard errors in elevation, slope and curvature. The results show that the standard errors are not improved by using the on line DEM editor. It is also demonstrated that an increased point density decreases the standard error in elevation while its effect on the standard error in slope is limited. The standard error in curvature is almost independent of the point density.  相似文献   

14.
Accuracy assessment of lidar-derived digital elevation models   总被引:2,自引:0,他引:2  
Despite the relatively high cost of airborne lidar-derived digital elevation models (DEMs), such products are usually presented without a satisfactory associated estimate of accuracy. For the most part, DEM accuracy estimates are typically provided by comparing lidar heights against a finite sample of check point coordinates from an independent source of higher accuracy, supposing a normal distribution of the derived height differences or errors. This paper proposes a new methodology to assess the vertical accuracy of lidar DEMs using confidence intervals constructed from a finite sample of errors computed at check points. A non-parametric approach has been tested where no particular error distribution is assumed, making the proposed methodology especially applicable to non-normal error distributions of the type usually found in DEMs derived from lidar. The performance of the proposed model was experimentally validated using Monte Carlo simulation on 18 vertical error data-sets. Fifteen of these data-sets were computed from original lidar data provided by the International Society for Photogrammetry and Remote Sensing Working Group III/3, using their respective filtered reference data as ground truth. The three remaining data-sets were provided by the Natural Environment Research Council's Airborne Research and Survey Facility lidar system, together with check points acquired using high precision kinematic GPS. The results proved promising, the proposed models reproducing the statistical behaviour of vertical errors of lidar using a favourable number of check points, even in the cases of data-sets with non-normally distributed residuals. This research can therefore be considered as a potentially important step towards improving the quality control of lidar-derived DEMs.  相似文献   

15.
两次SAR图像成像时卫星位置的差异导致即使在平坦地区InSAR干涉图上也会有参考面相位存在。由于定轨精度有限,InSAR数据处理过程中需去除轨道误差相位。目前常用的去除轨道误差的方法为基于轨道状态矢量计算出初始基线,再根据地面控制点信息,利用最小二乘算法得到精密基线;或将初始基线对应的参考面相位去除后,再对剩余相位进行快速傅里叶变换或曲面拟合,得到趋势性相位再去除。由于去除参考面相位在去除大气相位和获取形变相位之前,因而基线精密估计的过程中易受到大气相位和形变相位的影响,影响形变解算结果。在实际应用中发现存在干涉图在去除参考面相位后依然有趋势性相位的现象,本文针对此现象考虑大气相位和形变相位影响,提出了利用地面控制点相位残差定权的基线估计方法,提高了估计形变结果的精度,模拟试验和实际应用表明该方法具有一定的有效性和可行性。  相似文献   

16.
Topographic corrections of synthetic aperture radar (SAR) images over hilly regions are vital for retrieval of correct backscatter values associated with natural targets. The coarse resolution external digital elevation models (DEM) available for topographic corrections of high resolution SAR images often result into degradation of spatial resolution or improper estimation of backscatter values in SAR images. Also, many a times the external DEMs do not spatially co-register well with the SAR data. The present study showcases the methodology and results of topographic correction of ALOS-PALSAR image using high resolution DEM generated from the same data. High resolution DEMs of Jaipur region, India were generated using multiple pair SAR images acquired from ALOS-PALSAR using interferometric (InSAR) techniques. The DEMs were validated using differential global positioning system measured elevation values as ground control points and were compared with photogrammetric DEM (advanced spaceborne thermal emission and reflection radiometer – ASTER) and SRTM (Shuttle Radar Topography Mission) DEM. It was observed that ALOS-PALSAR images with optimum baseline parameters produced high resolution DEM with better height accuracy. Finally, the validated DEM was used for topographic correction of ALOS-PALSAR images of the same region and were found to produce better result as compared with ASTER and SRTM-DEM.  相似文献   

17.
A case study of using external DEM in InSAR DEM generation   总被引:2,自引:0,他引:2  
Synthetic aperture radar interferometry (InSAR) has been used as an innovative technique for digital elevation model (DEM) and topographic map generation. In this paper, external DEMs are used for InSAR DEM generation to reduce the errors in data processing. The DEMs generated from repeat-pass InSAR are compared. For steep slopes and severe changes in topography, phase unwrapping quality can be improved by subtracting the phase calculated from an external DEM. It is affirmative that the absolute height accuracy of the InSAR DEM is improved by using external DEM. The data processing was undertaken without the use of ground control points and other manual operation.  相似文献   

18.
针对地面激光扫描点云中的粗差与不均匀采样对法向量计算的影响,基于最小广义方差估计与局部平面拟合原理提出了一种抗差法向量求解方法。首先通过快速近似最近邻居搜索算法得到最近k邻居点集,然后由确定型最小广义方差估计方法和多元马氏距离得到邻居点集协方差矩阵的抗差估计,最后根据主成分分析法(principal component analysis,PCA)计算得到抗差法向量。通过构造的模拟地面激光扫描(terrestrial laser scanning,TLS)点云数据将提出的方法分别与基于PCA、鲁棒PCA和随机抽样一致的法向量求解方法进行实验比较。结果表明,所提方法的抗差性能优异,且并行优化改进后可以满足大规模TLS点云的计算需求。将该方法应用于实际野外地形TLS点云数据,由求解的抗差法向量重建的泊松表面更符合实际地形,表明了该方法在实际应用中的有效性。  相似文献   

19.
Unmanned aerial systems (UASs) are widely used for remote sensing, including the production of high‐resolution digital elevation models (DEMs). We study the possibilities of UAS‐based aerial surveys to produce photogrammetrically sound, high‐resolution DEMs intended for geomorphometric modeling. The study was conducted at the Zaoksky testing ground (Russia). To carry out an aerial survey, we used a UAS Geoscan‐101 equipped with a Sony DSC‐RX1 camera and a Topcon GNSS receiver. Aerial photographs were processed using Agisoft PhotoScan Professional software. Applying dense point cloud generation and classification, we produced DEMs with resolutions of 6 cm, 20 cm, and 1 m. Using a universal spectral analytical method, we derived models of several morphometric variables (i.e., slope gradient, horizontal, vertical, minimal, and maximal curvatures) from DEMs with resolutions of 20 cm and 1 m. We found that it is possible to produce noiseless models and well‐readable maps of morphometric variables for grassy areas with separately standing groups of trees and shrubs. However, UAS‐based DEMs cannot be applied for modeling of forested areas: there occur pronounced unrecoverable artifacts due to errors of automated classification of the dense point cloud. Finally, we present recommendations for the production of UAS‐derived, photogrammetrically sound, high‐resolution DEMs intended for geomorphometry.  相似文献   

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