共查询到19条相似文献，搜索用时 625 毫秒
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CCD 几何偏差模型的多波段遥感影像配准 总被引：1，自引：0，他引：1
多波段光学遥感影像配准是遥感卫星地面预处理中的关键环节,其精度决定了遥感数据产品的质量.一般使用波段间图像灰度相关匹配来实现多波段影像的配准.然而,该类方法的配准精度受地物特征影响较大,海面、港口、沙漠等地物特征不明显存在影像无法配准的现象.本文以北京一号(BJ-1) 小卫星多光谱影像的波段配准为研究对象,建立多波段线阵CCD 各探元在CCD 扫描方向和卫星飞行方向的几何偏差模型,来计算多波段影像间同名像元在图像行和列方向上的位置偏差,进而拟合出一个固定的波段配准模型来实现多波段影像的亚像元配准.该方法已应用于BJ-1 和DMC_UK2 小卫星多光谱影像的地面预处理波段配准中,配准误差小于0.5 像元,具有良好的应用效果. 相似文献
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海岸带变化监测以遥感影像为矢量更新依据。在实际应用中,由于数据源复杂,全色影像与底图套合、多光谱影像与全色配准容易出现局部超限,为项目生产带来一定的难度。本文主要介绍利用样条函数进行影像的局部配准以满足项目精度要求。 相似文献
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针对ZY-3多光谱影像各谱段共视场扫描成像特点,提出基于在轨检校内方位元素的虚拟CCD重成像算法,通过虚拟CCD重成像技术实现单谱段CCD影像的无缝拼接及多谱段的高精度谱段配准。采用河南登封区域及天津区域的ZY-3多光谱影像对ZY-3多光谱相机进行在轨几何检校,利用河北安平区域的30个高精度靶标控制点验证了检校结果的正确性;进一步利用检校后的内方位元素对河北安平区域、兰州区域的ZY-3多光谱影像进行虚拟CCD重成像,采用靶标点验证方法以及高精度配准验证方法对虚拟CCD重成像影像的谱段配准精度验证,谱段配准精度均优于0.2像元。 相似文献
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提出了一种低空无人机(unmanned aerial vehicle,UAV)序列影像与激光点云自动配准的方法。首先分别基于多标记点过程与局部显著区域检测对激光点云和序列影像的建筑物顶部轮廓进行提取,并依据反投影临近性匹配提取的顶面特征。然后利用匹配的建筑物角点对,线性解算序列影像外方位元素,再使用建筑物边线对的共面条件进行条件平差获得优化解。最后,为消除错误提取与匹配特征对整体配准结果的影响,使用多视立体密集匹配点集与激光点集进行带相对运动阈值约束的ICP(迭代最临近点)计算,整体优化序列影像外方位元素解。试验结果表明本文方法能实现低空序列影像与激光点云像素级精度的自动配准,联合制作DOM精度满足现行无人机产品1∶500比例尺标准。 相似文献
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无人机数字影像配准技术是无人机航空摄影测量的基础技术之一。针对无人机遥感影像配准问题,本文选取地物特征点进行坐标系投影变换,从而确定影像空间位置,完成影像配准工作,并进行精度评定。研究表明：(1)通过手动选取控制点进行坐标拟合,可有效将TIF和JPEG影像进行配准。(2)基于灰度共生矩阵的特征点匹配法具有较高的配准精度,基于相位相关的区域配准法适用于处理大面积的影像配准问题。(3)利用TIF影像数据配准精度较高,JPEG影像数据更便于传输与存储。(4)配准的最佳方法取决于所应用的场景。 相似文献
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针对多源遥感影像间由于存在显著的非线性辐射差异,导致影像配准困难的问题,提出了一种由一阶高斯方向可调滤波器引导的多源影像配准方法。首先,基于影像自带的几何参考信息,计算出参考影像与待配准影像在像方空间的重叠区域,以参考影像面为基准对重叠区域进行均匀分块,通过有理函数模型和数字高程模型计算对应的待配准影像块,建立仿射变换模型对待配准影像块进行几何校正,实现局部影像间的粗配准;然后,在特征检测方面,构造了分块均匀检查策略改进的抗聚簇加速分割测试特征,获取大量分布均匀的特征点,对于特征描述,构造了一组多尺度、多方向的一阶高斯方向可调滤波器对影像卷积,通过对卷积结果进行池化以实现特征降维,得到多源一致的特征描述;最后,基于最近邻原则进行特征匹配,通过剔除误匹配得到高精度同名点对,进一步基于有理函数模型进行平差计算,校准待配准影像的有理多项式系数并对影像进行几何纠正,实现影像间的精配准。基于多组星载多源遥感影像的实验结果表明,所提方法在多时相光学数据、光学-红外数据上的配准精度优于1像素,在光学-合成孔径雷达数据上的配准精度优于1.5像素;计算效率方面,相比于现有同类方法提高1倍以上。 相似文献
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随着遥感影像数据量的飞速增长,传统的串行波段配准方法已无法满足大数据多光谱影像的实时配准需求。针对该问题,提出了一种CPU和GPU协同的多光谱影像快速波段配准方法。首先进行计算量和并行度分析,将同名点匹配和微分纠正映射至GPU执行,仿射变换系数拟合仍驻留在CPU执行。其次通过核函数任务映射和基本设置,使算法步骤在GPU上可执行,并设计了3种性能优化方法(访存优化、指令优化、传输计算堆叠),进一步提高了波段配准的执行效率。在NVIDIA Tesla M2050 GPU和Intel Xeon E5650 CPU组成的实验平台上,对遥感26号卫星多光谱影像的实验表明,使用该方法加速后的波段配准执行时间仅为3.25 s,与传统串行方法相比,加速比达到了32.32倍,可以满足大数据多光谱影像的近实时配准需求。 相似文献
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Sabry F. El-Hakim Claus Brenner Gerhard Roth 《ISPRS Journal of Photogrammetry and Remote Sensing》1998,53(6):379-391
Creating virtual environment models often requires geometric data from range sensors as well as photometric data from CCD cameras. The model must be geometrically correct, visually realistic, and small enough in size to allow real-time rendering. We present an approach based on 3D range sensor data, multiple CCD cameras, and a colour high-resolution digital still camera. The multiple CCD cameras provide images for a photogrammetric bundle adjustment with constraints. The results of the bundle adjustments are used to register the 3D images from the range sensor in one coordinate system. The images from the high-resolution still camera provide the texture for the final model. The paper describes the system, the techniques for the registration of the 3D images, the building of the efficient geometric model, and the registration and integration of the texture with a simplified geometric model. 相似文献
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“天绘一号”传输型摄影测量与遥感卫星 总被引：1，自引：1，他引：0
介绍了“天绘一号”卫星的总体方案、技术特点、研制历程和应用概况, 重点介绍了“天绘一号”卫星的技术特点和应用前景, 以便用户了解、熟悉“天绘一号”卫星, 更好使用其各种影像产品, 更好发挥卫星的应用效能。“天绘一号”卫星摄影定位与测图系统采用LMCCD(Line Matrix Charge Coupled Device)测绘体制, 由前视、正视和后视3台全色CCD相机, 3台星敏感器以及1台GPS接收机组成;其中正视相机焦平面上还设计有4个小面阵CCD器件, 用于提高摄影定位的高程精度。卫星摄影测量基高比为1。卫星通过一个高强度、高刚度和高稳定度的测绘光学平台, 将3台测绘相机、3台星敏感器和1台多光谱相机集成为一体, 满足了测绘任务对星敏感器与相机间几何角度关系的高精度及高稳定度要求。在轨测试结果表明, 卫星摄影定位精度优于任务指标要求, 可满足无地面控制点条件下测制全球1:50000比例尺地图要求。 相似文献
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The design, operation, and testing of a high resolution multispectral video system (HRMVS) is described. The system uses state‐of‐the‐art video technology. It incorporates three black‐and‐white (B & W) visible/near‐infrared (NIR) (0.4–1.1 μm) light sensitive solid‐state cameras equipped with band‐pass filters and provides two kinds of simultaneously synchronized video images: (1) color‐infrared (CIR) composite imagery and (2) its three‐band B & W image components. Only CIR composite imagery is presented here with its B & W components (yellow‐green, red, and NIR bands), but any false color combination can be generated by the encoder. Images are recorded on high resolution (400 horizontal lines) Super (S)‐VHS recorders. An independent solid‐state conventional color (0.4–0.7 μm) camcorder (S‐VHS) was optional to this system. It was set up to acquire imagery at approximately the same field‐of‐view as the three‐camera synchronized system. Examples of imagery of various natural resource characteristics are given. Color‐infrared composite imagery had similar color tonal renditions to that of CIR film. The high resolution multispectral Black & White B & W images showed that some terrain features could be discriminated better in certain bands. For example, the yellow‐green (543–0.552 μm) band was best for distinguishing chlorosis in grain sorghum (Sorghum bicolor Moench), whereas the NIR band was optimum for separating biomass levels in alfalfa (Medicago sativa L.). The color and Black & White B & W multispectral image results showed this system to be a valuable and versatile tool for a variety of remote sensing applications. 相似文献
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Pece V. Gorsevski Paul E. Gessler 《ISPRS Journal of Photogrammetry and Remote Sensing》2009,64(2):184-192
Flexible and cost-effective tools for rapid image acquisition and natural resource mapping are needed by land managers. This paper describes the hardware and software architecture of a low-cost system that can be deployed on a light aircraft for rapid data acquisition. The Hyperspectral and Multispectral Cameras for Airborne Mapping (HAMCAM) was designed and developed in the Geospatial Laboratory for Environmental Dynamics at the University of Idaho as a student-learning tool, and to enhance the existing curriculum currently offered. The system integrates a hyperspectral sensor with four multispectral cameras, an Inertial Navigation System (INS), a Wide Area Augmentation System (WAAS)-capable Global Positioning System (GPS), a data acquisition computer, and custom software for running the sensors in a variety of different modes. The outputs include very high resolution imagery obtained in four adjustable visible and near-infrared bands from the multispectral imager. The hyperspectral sensor acquires 240 spectral bands along 2.7 nm intervals within the 445–900 nm range. The INS provides aircraft pitch, roll and yaw information for rapid geo-registration of the imagery. This paper will discuss the challenges associated with the development of the system and the integration of components and software for implementation of this system for natural resource management applications. In addition, sample imagery acquired by the sensor will be presented. 相似文献
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《ISPRS Journal of Photogrammetry and Remote Sensing》2000,55(1):59-71
This paper describes the geometric in-flight calibration of the Modular Optoelectronic Multispectral Scanner MOMS-2P, which has collected digital multispectral and threefold along-track stereoscopic imagery of the earth's surface from the PRIRODA module of the Russian space station MIR from October 1996 to August 1999. The goal is the verification and, if necessary, the update of the calibration data, which were estimated from the geometric laboratory calibration. The paper is subdivided into two parts, describing two different procedures of geometric in-flight calibration. The first method is based on DLR matching software and is restricted to nadir looking channels, which are read out simultaneously. From a high number of individual point matches between the images of the same area taken by the different CCD arrays, the most reliable ones are selected and used to calculate shifts with components in and across flight direction between the CCD arrays. These actual shifts are compared to the nominal shifts, derived from the results of the laboratory calibration, and parameters of the valid camera model are estimated from both data sets by least squares adjustment. A special case of band-to-band registration are the two optically combined CCD-arrays of the nadir high-resolution channel. They are read out simultaneously with a nominal 10 pixel overlap in stereoscopic imaging mode A. The DLR matching software is applied to calculate the displacement vector between the two CCD-arrays. The second method is based on combined photogrammetric bundle adjustment using an adapted functional model for the reconstruction of the interior orientation. It requires precise and reliable ground control information as well as navigation data of the navigation-package MOMS-NAV. Nine contiguous image scenes of MOMS-2P data-take T083C building an about 550-km-long strip over southern Germany and Austria taken in March 1997 were evaluated. From both procedures calibration data are estimated, which are presented and compared to the lab-calibration results. 相似文献
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北京一号小卫星多光谱图像波段配准和图像变形评价 总被引：1，自引：1，他引：1
北京一号小卫星是中国和英国联合研制的一颗实用型、对地观测微小卫星，星上携带中分辨率32m多光谱（近红外、红和绿波段）和4m全色两种有效载荷。为了提高多光谱图像的宽度和时间分辨率，北京一号小卫星的每个多光谱波段都是由两个相机独立成像然后拼接而成。由于这种成像方式很难保证6个相机的主光轴平行，导致图像配准精度较低。针对北京一号小卫星的这种成像特点，本文在图像灰度交叉相关匹配的基础上，发展了一种高精度波段配准算法来评价北京一号小卫星的波段配准精度，并在波段配准的基础上，评价北京一号小卫星多光谱图像的变形一致性。 相似文献
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China–Brazil Earth Resource Satellite (CBERS) imagery is identified as one of the potential data sources for monitoring Earth surface dynamics in the event of a Landsat data gap. Currently available multispectral images from the High Resolution CCD (Charge Coupled Device) Camera (HRCC) on-board CBERS satellites (CBERS-2 and CBERS-2B) are not precisely geo-referenced and orthorectified. The geometric accuracy of the HRCC multispectral image product is found to be within 2–11 km. The use of CBERS-HRCC multispectral images to monitor Earth surface dynamics therefore necessitates accurate geometric correction of these images. This paper presents an automated method for geo-referencing and orthorectifying the multispectral images from the HRCC imager on-board CBERS satellites. Landsat Thematic Mapper (TM) Level 1T (L1T) imagery provided by the U.S. Geological Survey (USGS) is employed as reference for geometric correction. The proposed method introduces geometric distortions in the reference image prior to registering it with the CBERS-HRCC image. The performance of the geometric correction method was quantitatively evaluated using a total of 100 images acquired over the Andes Mountains and the Amazon rainforest, two areas in South America representing vastly different landscapes. The geometrically corrected HRCC images have an average geometric accuracy of 17.04 m (CBERS-2) and 16.34 m (CBERS-2B). While the applicability of the method for attaining sub-pixel geometric accuracy is demonstrated here using selected images, it has potential for accurate geometric correction of the entire archive of CBERS-HRCC multispectral images. 相似文献
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基于正交变换的多通道遥感影像变化检测 总被引：3，自引：0，他引：3
针对多时相多通道遥感影像的变化检测问题，引入了多元统计中的典型相关分析方法，对遥感影像进行典型变换，并采用最小噪声比率变换对典型变换结果作后处理，得到差异影像，初步解决了将变化信息集中到少数分量中的问题。实验证实了该方法的有效性，并与主成分分析方法进行了比较。 相似文献