共查询到20条相似文献，搜索用时 296 毫秒
1.
本文将有理函数模型(RFM)引入多源SAR遥感影像区域网平差中,并采用多种地面控制点布设方案,对基于严格几何处理模型和带像方仿射变换补偿的RFM区域网平差精度进行了对比分析.试验表明,对于多源SAR影像,在地面控制点较多且分布良好的情况下,基于严格几何处理模型的区域网平差可以获得较好的目标定位结果;基于RFM的区域网平差可以获得与基于严格几何处理模型的区域网平差几乎相当的目标定位精度,且受地面控制点分布和数量影响较小,非常适合稀疏地面控制点情况下的SAR遥感影像几何定位. 相似文献
2.
针对如何最大可能地联合现有的海量主被动遥感数据进行复合式立体定位处理、摆脱传统同源光学立体数据源限制的问题,该文提出一种异源多视遥感影像的立体定位方法,将任意数目比例的、具有共同重叠区域的多幅CCD和SAR影像纳入到统一的立体构像体系中。通过一系列算法设计包括统一有理函数模型(RFM)构建、基于RFM的像方立体平差、立体空间前方交会等,以及同源两视和异源多视两种观测组合下的立体试验,证明本方法摈弃了传统同源立体对数据源的苛刻限制,充分发挥了CCD和SAR载荷的互补优势,同时确保了最终立体定位的精度。 相似文献
3.
4.
卫星影像的RFM模型具有传感器无关的优点,适用于多源影像的几何定位处理,但在无地面控制点条件下联合定位时存在自主定位优势影像难以发挥主导作用且求解易发散的不足。本文通过将影像的先验自主定位精度和成像线性漂移转化为像方定向参数的精度和权信息,建立考虑影像定向参数精度信息的RFM模型。以12景TerraSAR-X和6对12景覆盖面积约为18万km2的SPOT-5HRS立体长条带影像为数据源,对两类影像定向参数先验精度配置偏差、SAR影像升降轨道方向、SAR影像数目、SAR影像分布等因素对定位精度的影响进行了系列定位试验,少量SAR与大范围HRS联合的影像自主定位平面/高程精度可达6.0m/4.2m。本文RFM平差模型无地面控制点定位精度和定向参数求解稳健性相对于传统模型有显著提升,是卫星影像无控制点1∶10万/1∶5万全球测图的一种潜在方法。 相似文献
5.
6.
基于有理函数模型的星载SAR影像几何校正 总被引：1，自引：0，他引：1
主要研究了面向星载合成孔径雷达SAR(Synthetic Aperture Radar)影像几何处理的有理函数模型RFM(Rational Function Model)的建模、求解和应用方法。首先采用与地形无关的方式,利用严密的距离-多普勒模型(Range Doppler,RD)构建虚拟控制点格网来进行RFM建模,实现了一种RFM模型参数的快速无偏解算新方法,能够取得相对于RD模型很高的拟合精度,在几何定位功能上实现了对RD模型的有效替代,同时大大提高了计算效率。然后在此基础上利用RFM模型实现了星载SAR影像的快速几何校正,为了提高几何校正结果的绝对定位精度,引入少量地面控制点对RFM模型进行了像方改正处理,以消除SAR影像几何定位的系统误差,并利用ENVISAT ASAR数据的实验结果验证了本文方法的有效性。 相似文献
7.
利用光学遥感影像进行星载SAR影像正射纠正 总被引：1，自引：0，他引：1
基于角反射器点的正射纠正方法仅适用于局部区域的SAR影像,无法满足大区域生产和工程化需求的问题。本文采用有理函数模型（RFM）作为星载SAR几何模型,利用资源三号测绘卫星的数字表面模型（DSM）产品和数字正射影像图（DOM）,选取遥感13号SAR影像与资源三号光学影像的同名像点作为控制点,对遥感13号SAR影像进行了正射纠正,并与常规的基于角反射器点的正射纠正方法进行了对比分析。试验结果表明,针对平原地区的遥感13号SAR影像,在四角布设控制点的情况下,基于角反射器点的正射纠正方法比基于光学正射影像的正射纠正方法精度高,正射纠正精度分别优于2.5和4.5 m。 相似文献
8.
9.
10.
利用有理函数模型的几何定位仿射变换方法 总被引：1，自引：0，他引：1
针对高分辨率遥感影像在应用严密成像模型处理时存在求解参数众多、数值解算精度不高的问题,该文提出了基于有理函数模型(RFM)对几何定位进行仿射变换的方法。首先采用高分辨率遥感影像基于有理函数模型系数进行无控制点直接定位;然后利用控制点变化趋势制定控制点布设方案,并选取最优控制方案进行仿射变换;最后基于像方仿射变换进行误差补偿,从而实现减小高分辨率遥感影像存在的系统误差。以IKONOS遥感数据进行几何定位实验,结果表明:本文方法可以有效地提高高分辨率遥感影像的几何定位精度。 相似文献
11.
12.
海洋表面膜特征的SAR图像探测 总被引：5，自引：0，他引：5
讨论并分析各种成因类型的海洋表面膜特征及其在海洋ＳＡＲ图像中影像特征。对渤海湾的ＳＡＲ图像中的表面膜特征进行检测并对这些表面膜特征成因进行了分类。 相似文献
13.
14.
S. C. Sharma N. Rajendran A. K. Grover G. S. Srivastava 《Journal of the Indian Society of Remote Sensing》1990,18(4):45-64
The paper describes the details of a comparative study of geological interpretations carried out from Synthetic Aperture Radar (SAR) imagery, Landsat MSS (B & W) imagery and Aerial Photographs, covering 2100 sq km of area in Anantapur district of Andhra Pradesh. The area comprises Peninsular—Gneissic Complex and rocks of Dharwar and Cuddapah Super Groups beside the Quaternary alluvial deposits along the Penneru river and its tributaries. Geomorphologically the areas is represented by denudational, fluvial and structural landforms. The study indicates that the details of the geological and geomorphological maps prepared from SAR imagery and aerial photographs are comparable despite the smaller scale of SAR imagery while the same are not exhibited in Landsat imagery mainly due to its low resolution. Although broad lithological units are possible to be discriminated on SAR as well as aerial photographs, some of the finer rock types viz. gabbroic dykes could be discriminated from the delerite dykes in the SAR imagery due to their different surface roughness. Stereoscopic coverage and enhanced micro-relief of SAR imagery gives better geomorphological details in comparison to aerial photographs. A detailed study of lineaments has also been carried out which shows that in SAR imagery there is over-representation of short lineaments due to enhanced micro-relief and radarshadow effects across the look direction and under-representation of lineaments along the look direction. Landsat imagery is perhaps the best for demarcating lineaments of regional magnitude while aerial photographs are good for depicting shorter lineaments. However, certain lineaments seen in SAR imagery are often not continuously seen on aerial photographs. 相似文献
15.
The reconstruction of digital surface models (DSMs) of urban areas from interferometric synthetic aperture radar (SAR) data is a challenging task. In particular the SAR inherent layover and shadowing effects need to be coped with by sophisticated processing strategies. In this paper, a maximum-likelihood estimation procedure for the reconstruction of DSMs from multi-aspect multi-baseline InSAR imagery is proposed. In this framework, redundant as well as contradicting observations are exploited in a statistically optimal way. The presented method, which is especially suited for single-pass SAR interferometers, is examined using test data consisting of experimental airborne millimeterwave SAR imagery. The achievable accuracy is evaluated by comparison to LiDAR-derived reference data. It is shown that the proposed estimation procedure performs better than a comparable non-statistical reconstruction method. 相似文献
16.
针对现有的配准方法用于多光谱影像与SAR遥感影像配准时,存在受SAR图像斑纹噪声影像大、手工选取配准控制点精度低、利用图像景物特征配准时获取区域和边沿困难等问题,以SPOT5影像与RADARSATSAR影像配准进行实验,提出了一种利用改进的SIFT在提取的特征图像上寻找匹配点进行粗配准,然后利用交叉累积剩余熵作为相似性测度结合原始影像信息寻找光学特征图像的角点在SAR影像上的匹配点并进行精配准的方法,配准精度达到了子像素级水平。实验结果表明该方法对多源遥感影像有很强的适应性,配准精度高。 相似文献
17.
根据高分辨率SAR图像中桥梁目标的特点提出了一种新的桥梁识别算法,主要由水体分割、感兴趣区域确定和桥梁识别三个步骤实现。通过直方图均衡,方便了分割阈值的选取;通过数据采样,提高了识别的有效性;通过目标特征的抽取,保证了识别结果的准确性。识别过程在初级处理中,利用快速算法得到感兴趣区域;在后续处理中利用目标特征对该区域内的潜在目标进行识别,取得了良好的效果。 相似文献
18.
This paper presents an approach to automated identification of slum area change patterns in Hyderabad, India, using multi-year and multi-sensor very high resolution satellite imagery. It relies upon a lacunarity-based slum detection algorithm, combined with Canny- and LSD-based imagery pre-processing routines. This method outputs plausible and spatially explicit slum locations for the whole urban agglomeration of Hyderabad in years 2003 and 2010. The results indicate a considerable growth of area occupied by slums between these years and allow identification of trends in slum development in this urban agglomeration. 相似文献
19.
AbstractThis study proposes the development of a multi-sensor, multi-spectral composite from Landsat-8 and Sentinel-2A imagery referred to as ‘LSC’ for land use land cover (LULC) characterisation and compared with respect to the hyperspectral imagery of the EO1: Hyperion sensor. A three-stage evaluation was implemented based on the similarity observed in the spectral response, supervised classification results and endmember abundance information obtained using linear spectral unmixing. The study was conducted for two areas located around Dhundi and Rohtak in Himachal Pradesh and Haryana, respectively. According to the analysis of the spectral reflectance curves, the spectral response of the LSC is capable of identifying major LULC classes. The kappa accuracy of 0.85 and 0.66 was observed for the classification results from LSC and Hyperion data for Dhundi and Rohtak datasets, respectively. The coefficient of determination was found to be above 0.9 for the LULC classes in both the datasets as compared to Hyperion, indicating a good agreement. Thus, these three-stage results indicated the significant potential of a composite derived from freely available multi-sensor multi-spectral imagery as an alternative to hyperspectral imagery for LULC studies. 相似文献
20.
机载SAR影像地表要素解译试验研究 总被引：2，自引：1，他引：1
雷达影像以其全天候、全天时、穿透力强的工作能力,成为当前摄影测量与遥感领域的研究热点,近年来机载SAR系统在国内外得到快速发展和应用。本文介绍了高分辨率多极化机载SAR数据的特点,论述了SAR影像的正射纠正,分析了不同地表要素在机载SAR影像中的成像特点和解译方法,并与光学影像作了对比,得出了基于SAR影像地表要素解译的几点看法。 相似文献