A case study of using external DEM in InSAR DEM generation

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.     

Analysing topographical changes in open cast coal-mining region of Patratu,Jharkhand using CARTOSAT-I Stereopair satellite images

This study provides an assessment of changes in the terrain topography due to opencast coal mining in the Patratu region of Jharkhand state during the period of 1962–2007. It demonstrated the potential of digital elevation model (DEM) differencing technique using Cartosat-I satellite (2007) derived DEM with reference to DEM derived from contours obtained from Survey of India topographical map (1962). The topographical changes through DEM differencing revealed positive relief changes (up to 49 m) due to coal-mining overburden dumps. The dumping of overburden near the banks of perennial Damodar River also caused positive topographic changes (up to 20 m) indicating adverse effects on its hydrological regime. Negative relief changes are represents by deep depressions (up to 66 m) created within coal mines due to the extraction of coal. These depression areas within the abundant mines generally become the zones of water accumulation causing wastage of surface and ground water resources.     

Classification from Landsat TM of Indurated Volcanic Materials (tepetates) of the Mexican Neo‐volcanique Belt

Abstract

Tepetates, altered indurated and sterile volcanic tuffs, are located among the neo‐volcanic belt in central Mexico. They are divided into three classes according to the erosion level: outcrop tepetates, discontinuous tepetates (in process of erosion), and underlying tepetates (related to fragile areas with high erosion risk). For local communities and peasants, the existence of tepetates is a heavy constraint, with the impossibility to cultivate the land as it is. In order to know the localization and extension of tepetates, we experimented with various classification techniques of a Landsat Thematic Mapper satellite image. Masking techniques were used, assisted both by a DEM and photo interpretation, in addition to radiometric segmentation to obtain a map of tepetates in a study area. The resulting map showed the location of outcrop tepetates well, in agreement with existing soil maps, but underestimated underlying tepetates and high‐risk erosion localities, due mainly to the heterogeneity of the classes at the scale used (30 m pixel).     

DEM建模方法的研究与实践

在分析移动曲面拟合与加权平均算法特点的基础上,提出以移动曲面拟合法为主、加权平均法为辅两者相结合的方法,使它们能够相互取长补短,从而解决大区域DEM建模中存在的问题。对接边处的误差可以进行误差改正并用样条函数对其重建使其光滑。结合5种地貌类型的1∶5万地形图数据进行试验,用中误差对试验结果进行评估和分析,得出该方法在丘陵地区的建模误差最小、效果较好,为今后大区域3维建模提供一种更为精确和合理的方法。     

An improved ANUDEM method combining topographic correction and DEM interpolation

Void filling and anomaly replacement in conjunction with auxiliary sources of data have been widely used to improve the quality of existing problematic high-resolution digital elevation models. However, the traditional interpolation methods used for this purpose have always failed to eliminate the discrepancies between different data-sets. In this paper, an improved ANUDEM method is presented for DEM interpolation, which incorporates the idea of topographic correction using high correlation of topological structure between contour lines (CLs) from multi-scale digital elevation models (DEM). Firstly, the terrain topological structure is extracted from the CLs of a low-resolution DEM. The topographic surface correction is then undertaken based on the extracted structure, which recovers the topographic information of the sharp depressions and eminences to fit the high-resolution representation. Finally, the breaklines of the terrain surface are distilled and integrated into the denser DEM generation. The experiments undertaken confirmed the superiority of the proposed method over the other DEM interpolation methods. It is shown that the proposed method can provide results with a higher accuracy, as well as a better visual quality.     

陡峭山区影像的半经验地形校正

本文提出一种新的半经验地形校正模型SCEDIL(Simple topographic Correction using Estimation of Diffuse Light),该模型通过结合DEM与光学影像数据寻找局部区域内完全光照和阴影的水平像元,并以光照、阴影水平像元的平均反射率值估算局部区域散射辐射比,提高了陡峭山区影像的地形校正精度。以高分一号卫星和Landsat ETM+影像为例,从目视判读和定量分析两个方面,比较分析该算法与传统半经验地形校正算法(C、SCS+C)的校正结果。结果表明:(1)对较为平坦的地形,SCEDIL和C、SCS+C校正都有较好的目视结果;对地面起伏较大的陡峭地形,C、SCS+C校正后,原阴影区域易呈现破碎化特征,SCEDIL校正后,原阴影区域过渡较为平滑。(2)SCEDIL校正后,各波段反射率的均值和标准差优于C、SCS+C校正,SCEDIL校正后,影像总分类精度与同类地物光谱信息均一性均优于C和SCS+C校正。SCEDIL半经验地形校正方法能有效地去除影像中的地形干扰,尤其对陡峭地形的校正效果,优于常规地形校正模型。     

最佳DEM分辨率的确定及其验证分析

在玛尔挡地区格网DEM的数据上选择实验样区,以不同分辨率情况下DEM数据对地表模拟表达的逼近程度为研究对象,最优逼近时的栅格单元大小的临界值就是所求的最佳分辨率。在分析坡度中误差法和公式法等常见方法的基础上,借鉴坡度中误差的思想,选取区域地形粗糙度K、剖面线长度SL两个定量指标来综合分析确定该地区格网DEM的最佳分辨率。在ArcGIS平台上对方法进行了实验验证,得出分别以2m和8m作为玛尔挡地区1∶10 000和1∶50 000 DEM生产时是最佳分辨率的结论。研究表明这种解决办法不仅可以克服GIS空间分析中DEM分辨率确定的盲目性和随意性,而且能确保基于DEM的各种空间分析的精度,为相关研究提供重要的参考价值。     

利用DEM进行SAR图像模拟及地形辐射校正

在山区获取地面控制点比较困难,运用模拟SAR进行配准、校正,具有较大的优势。本文在分析SAR成像几何结构及ALOS PALSAR卫星轨道参数特征的基础上,运用RD定位模型对DEM的每个网格点进行雷达成像点的位置计算,模拟SAR图像,并提取当地入射角、投影角及规则化因子等;模拟出的SAR图像与真实SAR图像纹理吻合,有利于控制点的自动配准。在此基础上对ALOS PALSAR进行编码,构建基于规则化因子及入射角的地形辐射校正模型,消除面积效应及地形起伏造成的畸变问题,从结果中分析,校正后的图像明暗差异明显减少,这对雷达定量反演研究具有一定的现实意义。     

格网DEM坡度计算模型的相似性研究

当DEM的精度和分辨率确定后,坡度坡向计算结果取决于计算模型。本文设计了逐栅格单元的相对差等级评价方法,并结合基于整体的频率图和XY散点图评价指标,定量揭示了坡度计算模型之间的异同。主要结论为:①坡度计算模型有离散和连续之分,连续型模型能给出更加符合实际的坡度坡向计算结果;②坡度计算结果与计算点数有关,点数越多,计算结果越稳定;③算法间的差异随DEM分辨率的增大而增大。最后本文给出了实际应用中的坡度计算模型。     

联合使用位模型和地形信息的陆区航空重力向下延拓方法

为了规避传统逆Poisson积分向下延拓解算过程的不适定性问题,借鉴导航定位中的"差分"概念,利用超高阶位模型直接计算海域航空重力测量向下延拓改正数的方法。本文在此基础上提出联合使用重力位模型和地形高数据,计算陆部航空重力向下延拓总改正数的改进方案,以飞行高度面与地面对应点的位模型差分信息表征总改正数的中长波分量,以相对应的局部地形改正差分修正量表征总改正数的中高频成分,从而实现航空重力数据点对点向地面的全频段延拓。在地形变化不同区域,联合使用EGM2008位模型、地面实测重力和高分辨率高程数据进行了实际数值计算和精度评估,验证了该方法的有效性。     

基于DEM的SAR图像模拟

针对SAR图像模拟方法进行了深入研究,提出了一种新的SAR图像模拟方法。该方法引入并改进信号模拟中经常使用的小面单元模型,并对SAR图像的阴影特征进行了分析;给出了一种高效判断阴影区域的算法。使用该方法对某一山地区域的DEM数据进行了SAR图像的模拟实验。实验结果表明:模拟的SAR图像和真实SAR图像纹理一致,很好地反映了起伏地区SAR图像的几何特征,取得了理想的效果。     

A practical method for SRTM DEM correction over vegetated mountain areas

Digital elevation models (DEMs) are essential to various applications in topography, geomorphology, hydrology, and ecology. The Shuttle Radar Topographic Mission (SRTM) DEM data set is one of the most complete and most widely used DEM data sets; it provides accurate information on elevations over bare land areas. However, the accuracy of SRTM data over vegetated mountain areas is relatively low as a result of the high relief and the penetration limitation of the C-band used for obtaining global DEM products. The objective of this study is to assess the performance of SRTM DEMs and correct them over vegetated mountain areas with small-footprint airborne Light Detection and Ranging (Lidar) data, which can develop elevation products and vegetation products [e.g., vegetation height, Leaf Area Index (LAI)] of high accuracy. The assessing results show that SRTM elevations are systematically higher than those of the actual land surfaces over vegetated mountain areas. The mean difference between SRTM DEM and Lidar DEM increases with vegetation height, whereas the standard deviation of the difference increases with slope. To improve the accuracy of SRTM DEM over vegetated mountain areas, a regression model between the SRTM elevation bias and vegetation height, LAI, and slope was developed based on one control site. Without changing any coefficients, this model was proved to be applicable in all the nine study sites, which have various topography and vegetation conditions. The mean bias of the corrected SRTM DEM at the nine study sites using this model (absolute value) is 89% smaller than that of the original SRTM DEM, and the standard deviation of the corrected SRTM elevation bias is 11% smaller.     

一种基于高分辨率雷达影像以及外部DEM辅助的复杂地形制图方法

为满足在坡度陡、高差大的复杂地形地区高精度DEM制图的需要,在传统的雷达干涉测量技术的基础上,通过引入外部DEM,建立外部DEM模拟相位和干涉解缠相位的对应关系,构建多维线性模型,进行线性回归分析,去除误差相位趋势;同时根据引入的外部DEM估计高程的误差范围,进行高程点的滤波,达到精化DEM的目的,形成最终的DEM产品。该方法已经应用于高分辨雷达影像（COSMO数据）在云南德钦地区DEM地形图的制作,通过GPS数据的验证,其精度达到了国家1∶50 000 DEM制图要求。     

1:50 000数字高程模型(DEM)生产中有关问题初探

总结了1:50 000DEM生产实践中,在技术、管理上取得的一些经验,对生产中各环节的实际问题提出一些建议,目的为以后各种比例尺的DEM生产提供参考.     

利用不确定度的海底数字高程模型构建

综合考虑水深点不确定度信息和距离对格网节点的影响,提出了利用不确定度和距离联合确定权函数方法构建海底数字高程模型(DEM)。利用不确定度信息传递模型和海底DEM格网分辨率选取标准,在DEM精度和数据容量之间保持平衡,为生成多种形式、满足多种需要的海洋数字产品提供了基础。     

基于小波多尺度分析的DEM数据综合研究

在同一地区,随着数字高程模型(DEM)分辨率的降低,或者地形图比例尺的缩小,DEM或地形图所描述的地形表面的细节部分不断舍弃而表现出宏观的骨架特征。本文将小波多尺度分析方法和方根模型结合模拟这一过程,由基于1:1万比例尺地形图建立的DEM生成了两种新的较小比例尺DEM,对比不同比例尺等高线可知,较小比例尺保持了较大比例尺的山体轮廓、山脊、谷地走向等地貌形态的塑造。采用坡度和剖面曲率两个参数及信息论的方法,分别对原始DEM和新生成的DEM进行分析和验证,结果表明,DEM经过数据综合,不但地形表面的轮廓越来越平缓,而且地形表面的细节也越来越平滑。利用方根模型作为小波高频系数阈值选取的依据更贴近于传统制图综合方法,能够将比例尺的改变与综合程度结合起来,实现任意比例尺DEM的自动综合。     

稳健初值的选权迭代法剔除DEM数据粗差

本文将抗差估计的思想融入到数字高程模型粗差探测的算法中,设计出对模型误差、特别是粗差具有抵抗能力的粗差探测算法.稳健初值的选权迭代法即为抗差估计的一种,首先是通过线性规划的单纯形解法来计算观测值的残差,然后再根据残差和有关的参数,按所选择的权函数,计算每个观测值的权,经过迭代计算求得观测值的残差,然后按照统计检验的方法...     

卫星雷达干涉测量原理与应用

本文综述卫星雷达干涉测量和差分干涉测量的基本原理及其应用。文章从比较雷达干涉测量与一般航测遥感的基本差别出发 ,介绍各种干涉模式下的雷达干涉测量原理、差分干涉测量原理和数据处理流程。在简要叙述雷达干涉测量应用领域后 ,重点列出 INSAR在地形测量、火山地形测量和 D- INSAR在地形沉降监测中的应用。最后 ,本文还探讨了存在的问题和应用前景。     

在JX4C中如何提高DEM的采集速度

数字高程模型DEM(Digital Elevation Mode1)是描述地表起伏变化的一种数字表达,是重要的一类基础地理信息产品,具有广泛的应用效果.目前,DEM研究成果丰富,且随着新的空间测高技术的出现,DEM原始数据采集的精度和密度在不断提高,它的精度直接影响着DOM的成图质量.在DEM的生产过程中,同时把握好D...     

一种利用DEM数据进行数字线划图生产的方法

围绕基于DEM数据的地貌要素提取,对DEM的精度评价方法,基于DEM数据的地形特征提取原理及典型算法进行了研究,总结了基于DEM数据生产数字线划图的技术特点,设计了作业流程,并进行了生产试验。试验表明,在采用高分辨率DEM数据的情况下,基于DEM的数字线划图生产可满足基本等高距大于2 m、比例尺小于1∶2000的数字线划图生产,可以作为摄影测量的一种补充技术。