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1.
Conceptual Model Of The Convergent Multistation Network Configuration Task   总被引:1,自引:1,他引:1  
Despite the potential of close range photogrammetry for high accuracy measurement, it has rarely been used by other than experienced photogrammetrists. One major contributing factor is the expertise needed to design multistation sensor configurations. This paper presents a conceptual model for the most fundamental task in this design problem, configuring a first approximation to a strong imaging geometry. This task entails making decisions on the number of camera stations needed and where they should be placed (positioned and oriented). The conceptual model is based on the theory of generic networks. A generic network constitutes compiled expertise, describing an ideal configuration of camera stations that can be employed to provide a strong imaging geometry for a class of network design problems. In addition to improving our understanding of cognition in network design, this model performs an important role in the development of an expert system for automated network design for dimensional inspection tasks.  相似文献   

2.
The aim of this paper is to present a method whereby accuracy enhancement of an existing photogrammetric network is achieved through the automatic selection of additional camera stations. The determination of the positions of these 'accuracy fulfilment' camera stations is based upon what has been termed 'visibility uncertainty prediction modelling' of visibility constraints derived from the existing network geometry. Following a review of vision constraints in network design, the concepts of visibility uncertainty prediction and visibility uncertainty spheres are introduced. These provide a mechanism to predict the visibility of current object target points for the new accuracy fulfilment images. This in turn aids in network design improvement. The visibility uncertainty modelling is then illustrated for two close range photogrammetric network configurations, for which the test results demonstrate that the proposed model can reliably predict target visibility with an overall certainty of 75%.  相似文献   

3.
Close range photogrammetry has been recognised as an essential tool for the capture of high-accuracy spatial data for medical applications, in particular work involving dynamic human body parts such as limbs. Offline and online photogrammetric systems are readily available for a number of common applications. However, off-the-shelf systems are not always appropriate because of project site conditions. To achieve high measurement accuracy in a field environment, a modified field camera calibration technique was introduced. The technique is particularly important where each camera is limited to one captured image during calibration, as the camera and the calibration testfield are in fixed positions. In this paper a custom-built imaging system designed for the study of the human spine in an outdoor environment is introduced. The discussion addresses: (1) imaging system design; (2) modified field calibration techniques; and (3) a case study on human spines. Two field camera calibration techniques were evaluated, both of which improved the accuracy of the prototype system, the use of a detachable target board offering the best results. This modified camera calibration procedure has improved the 3D measurement accuracy from 1·25 ± 0·3 mm to 0·43 ± 0·1 mm. The improvement is at a level achievable in the laboratory. The technique is considered to provide accurate and reliable anthropometric landmark measurement at low cost. This was evaluated in a clinical setting where diurnal changes in spine length and contour were measured in a cohort of 30 university students. The capability of the technique to measure sagittal and frontal angular changes provides a novel way of examining changes in spine shape.  相似文献   

4.
Terrestrial Linear Array CCD-based panoramic cameras have been used for purely imaging purposes, but they also have a high potential for use in high accuracy measurement applications. The imaging geometry and the high information content of those images make them suitable candidates for quantitative image analysis. For that a particular sensor model has to be established and the inherent accuracy potential has to be investigated. We developed a sensor model for terrestrial Linear Array-based panoramic cameras by means of a modified bundle adjustment with additional parameters, which models substantial deviations of a real camera from the ideal one. We used 3D straight-line information in addition to tie points to conduct a full calibration and orientation without control point information. Due to the similarity of the operation of laser scanners to panoramic cameras the sensor model of the panoramic cameras was extended for the self-calibration of laser scanners. We present the joint sensor model for panoramic cameras and laser scanners and the results of self-calibration, which indicate a subpixel accuracy level for such highly dynamic systems. Finally we demonstrate the systems’ accuracy of two typical panoramic cameras in 3D point positioning, using both a minimal number of control points and a free network adjustment. With these new panoramic imaging devices we have additional powerful sensors for image recording and efficient 3D object modeling.  相似文献   

5.
Photogrammetric methods for dense 3D surface reconstruction are increasingly available to both professional and amateur users who have requirements that span a wide variety of applications. One of the key concerns in choosing an appropriate method is to understand the achievable accuracy and how choices made within the workflow can alter that outcome. In this paper we consider accuracy in two components: the ability to generate a correctly scaled 3D model; and the ability to automatically deliver a high quality data set that provides good agreement to a reference surface. The determination of scale information is particularly important, since a network of images usually only provides angle measurements and thus leads to unscaled geometry. A solution is the introduction of known distances in object space, such as base lines between camera stations or distances between control points. In order to avoid using known object distances, the method presented in this paper exploits a calibrated stereo camera utilizing the calibrated base line information from the camera pair as an observational based geometric constraint. The method provides distance information throughout the object volume by orbiting the object.In order to test the performance of this approach, four topical surface matching methods have been investigated to determine their ability to produce accurate, dense point clouds. The methods include two versions of Semi-Global Matching as well as MicMac and Patch-based Multi-View Stereo (PMVS). These methods are implemented on a set of stereo images captured from four carefully selected objects by using (1) an off-the-shelf low cost 3D camera and (2) a pair of Nikon D700 DSLR cameras rigidly mounted in close proximity to each other. Inter-comparisons demonstrate the subtle differences between each of these permutations. The point clouds are also compared to a dataset obtained with a Nikon MMD laser scanner. Finally, the established process of achieving accurate point clouds from images and known object space distances are compared with the presented strategies.Results from the matching demonstrate that if a good imaging network is provided, using a stereo camera and bundle adjustment with geometric constraints can effectively resolve the scale. Among the strategies for dense 3D reconstruction, using the presented method for solving the scale problem and PMVS on the images captured with two DSLR cameras resulted in a dense point cloud as accurate as the Nikon laser scanner dataset.  相似文献   

6.
Recent tests on the geometric stability of several digital cameras that were not designed for photogrammetric applications have shown that the accomplished accuracies in object space are either limited or that the accuracy potential is not exploited to the fullest extent. A total of 72 calibrations were calculated with four different software products for eleven digital camera models with different hardware setups, some with mechanical fixation of one or more parts. The calibration procedure was chosen in accord to a German guideline for evaluation of optical 3D measuring systems [VDI/VDE, VDI/VDE 2634 Part 1, 2002. Optical 3D Measuring Systems–Imaging Systems with Point-by-point Probing. Beuth Verlag, Berlin]. All images were taken with ringflashes which was considered a standard method for close-range photogrammetry. In cases where the flash was mounted to the lens, the force exerted on the lens tube and the camera mount greatly reduced the accomplished accuracy. Mounting the ringflash to the camera instead resulted in a large improvement of accuracy in object space. For standard calibration best accuracies in object space were accomplished with a Canon EOS 5D and a 35 mm Canon lens where the focusing tube was fixed with epoxy (47  μm maximum absolute length measurement error in object space). The fixation of the Canon lens was fairly easy and inexpensive resulting in a sevenfold increase in accuracy compared with the same lens type without modification. A similar accuracy was accomplished with a Nikon D3 when mounting the ringflash to the camera instead of the lens (52  μm maximum absolute length measurement error in object space). Parameterisation of geometric instabilities by introduction of an image variant interior orientation in the calibration process improved results for most cameras. In this case, a modified Alpa 12 WA yielded the best results (29  μm maximum absolute length measurement error in object space). Extending the parameter model with FiBun software to model not only an image variant interior orientation, but also deformations in the sensor domain of the cameras, showed significant improvements only for a small group of cameras. The Nikon D3 camera yielded the best overall accuracy (25  μm maximum absolute length measurement error in object space) with this calibration procedure indicating at the same time the presence of image invariant error in the sensor domain. Overall, calibration results showed that digital cameras can be applied for an accurate photogrammetric survey and that only a little effort was sufficient to greatly improve the accuracy potential of digital cameras.  相似文献   

7.
多影像空三平差辅助下的车载全景相机严密标定方法   总被引:1,自引:0,他引:1  
针对目前全景相机标定方法的研究现状,提出了一种多影像光束法空三平差辅助下的全景相机内参数严密标定方法。首先建立全景相机标定场,对组成全景相机的每台单相机的内参数进行标定;然后按照预先设计好的摄影参数,旋转摄影获取全景相机在标定场中多个不同摄影方向的影像,利用其中一个摄站的标定影像和物方控制点通过空间后方交会的方法解算单相机之间的初始相对方位元素,即粗标定;最后将所有摄站的标定影像构建区域网并进行光束法空三平差,获取精确的全景相机参数,即严密标定。试验表明,文中提出的全景相机标定方法可以提高标定结果的精度和可靠性,为全景影像的拼接、量测及真彩点云的生成等后续研究和应用奠定可靠的基础。  相似文献   

8.
传统的相机检校方法受限于高精度的三维检校场或已知空间结构的检校模板,针对这个问题,在分析智能手机成像特征的基础上,提出一种无需控制信息的相机检校方法。该方法主要包括两个步骤:首先按3×3模式采集影像数据,选取基准影像,分别与其他影像进行相对定向以构建单元模型,通过比例系数进行模型连接后建立自由网模型,将所有摄站点、物方点坐标纳入到统一的基准影像坐标系中;然后以选择的基准影像为参考,并考虑附加参数模型,进行自检校光束法自由网平差,解算其余影像相对于基准影像的方位元素以及附加参数,从而完成相机的检校。实验结果表明,该检校方法是有效的,可显著提高测量的精度。  相似文献   

9.
Digital still cameras have been widely adopted for close range photogrammetry and machine vision applications. Due to the advantages of onboard storage of digital images, portability and rapid data processing, digital still cameras are rapidly becoming standard equipment for measurement tasks such as industrial metrology and heritage recording. As for any metric application, the accuracy of the derived object data is dependent, amongst many other factors, on the accuracy of the camera calibration. For the vast majority of photogrammetric applications, use of the simple case of a block invariant calibration model comprising the primary physical parameters, including the principal point position, is sufficient. However, cameras designed for photojournalism and domestic use, such as the Kodak DCS420 and 460 cameras, are well known for their calibration instability because the design is based on a 35 mm SLR camera body. In particular, previous research has shown that the principal point location is prone to movement during normal handling of the camera, due to the mounting mechanism of the CCD array. This paper reports on an investigation of the physical behaviour of the principal point location and compares different calibration parameter models for the Kodak DCS420 and DCS460 digital still cameras.  相似文献   

10.
This paper explores the potential of a digital camera to produce multiple images suitable for plotting. The objective was to build a three dimensional database by linking triangulated images from a Kodak DCS420 digital camera with a computer aided measurement system. The system then supplied X, Y, Z data from x, y image co-ordinates captured off two or more images. Relative accuracy in object space was around 1;50 000.  相似文献   

11.
讨论一个摄影测量网络的三维自动重建。其中,重点讨论了无需相似性量测的多片影像匹配。该匹配算法包括了所有影像作为参考影像的连续考虑和整个网络同时匹配。本文中,三维坐标矢量只用于剔除多余候选点,对精度提高无任何贡献。本方法的精度是通过子像素的特征点提取和多片交会得到的。  相似文献   

12.
Mathematical modelling of historical reconnaissance CORONA KH-4B Imagery   总被引:1,自引:0,他引:1  
This paper describes three mathematical modelling methods for high-resolution declassified CORONA KH-4B images. Since CORONA images are collected with a panoramic camera, several types of geometric distortions are involved. Two methods use the modified collinearity equations, and the third involves the terrain-dependent rational function model (RFM) which is considered to be a generic sensor model. Comparative analysis of the three mathematical modelling methods is undertaken. The results show that a ± 1·5 pixels level of horizontal and vertical accuracy can be obtained. A digital elevation model (DEM) of a test site is also created.  相似文献   

13.
为满足新建射电望远镜在单站或多站联合进行的深空探测或射电天文观测对中心坐标精确测定的要求,提出一种利用已知精确中心坐标的望远镜作为参照物,测量地平式射电望远镜中心点坐标的方法和测量数据处理方法。这一方法对场地和设备的要求较低,能够得到毫米级或亚毫米级的位置精度。尤其适合对天线阵列的中心位置进行测量。对国家天文台密云观测站的40 m射电望远镜进行了中心坐标测量,位置均方根误差为2.312 mm,满足了后续的观测工作对其位置的需求。  相似文献   

14.
The focus of this work is on developing a new hierarchical hybrid Support Vector Machine (SVM) method to address the problems of classification of multi or hyper spectral remotely sensed images and provide a working technique that increases the classification accuracy while lowering the computational cost and complexity of the process. The paper presents issues in analyzing large multi/hyper spectral image data sets for dimensionality reduction, coping with intra pixel spectral variations, and selection of a flexible classifier with robust learning process. Experiments conducted revealed that a computationally cheap algorithm that uses Hamming distance between the pixel vectors of different bands to eliminate redundant bands was quite effective in helping reduce the dimensionality. The paper also presents the concept of extended mathematical morphological profiles for segregating the input pixel vectors into pure or mixed categories which will enable further computational cost reductions. The proposed method’s overall classification accuracy is tested with IRS data sets and the Airborne Visible Infrared Imaging Spectroradiometer Indian Pines hyperspectral benchmark data set and presented.  相似文献   

15.
遥感地物自动提取是遥感智能解译中的关键问题,对空间信息的理解和知识发现具有重要意义。近年来,使用全卷积神经网络(fully convolutional networks, FCN)从高分影像和三维激光雷达(light detection and ranging, LiDAR)数据中提取地物信息因取得了较好效果而受到广泛关注。现有FCN网络在地物提取精度和效率等方面仍存在不足,由此提出一种基于多源数据的遥感知识感知与多尺度特征融合网络(knowledge-aware and multi-scale feature fusion network, KMFNet)。在网络编码器端融入遥感知识感知模块(knowledge-aware module, KAM),高效挖掘多源遥感数据中的遥感知识信息;在网络编码器和解码器之间添加了串并联混合空洞卷积模块(series-parallel hybrid convolution module, SPHCM),提高网络对地物多尺度特征的学习能力;在解码器端使用了渐进式多层特征融合策略,细化最终的地物分类结果。基于公开的ISPRS语义分割标准数据集,在LuoJiaNET遥感智能解译开源深度学习框架上将KMFNet与当前主流方法进行了对比。实验结果表明,所提方法提取出的地物更为完整,细节更加精确。  相似文献   

16.
针对现有三维点云数据分割分类方法存在分类目标内部不一致的问题,提出一种超体素随机森林与长短期记忆神经网络(long short-term memory,LSTM)联合优化的室内点云高精度分类方法。该方法根据超体素结构具备内部特征一致性的特点,对原始点云进行超体素划分,并以超体素为基本单元进行多元特征计算,搭建室内点云超体素随机森林分类模型,实现点云数据的粗分类。在此基础上,引入LSTM对粗分类的超体素邻域连接关系进行神经网络模型训练与预测,实现超体素粗分类结果的优化。基于开放数据集对所提分类方法进行有效性和精度验证,结果显示,该方法在公开数据集中对13类要素的分类精度可达到83.2%;与经典的深度学习框架相比,该方法在小样本训练时可以达到更优的分类精度。  相似文献   

17.
Change detection of tooth surface loss in the cervical region of a tooth replica has been performed using a fixed-base stereoscopic camera, consisting of two SLR digital cameras with lenses of fixed focal length. Commercial digital photogrammetric and calibration software was used to perform a convergent multi-station calibration with an artefact comprising a transilluminated planar array and a tiered object exhibiting optical texture. Digital surface models of a tiered test object and a tooth surface containing a non-carious cervical lesion were generated from stereo-imagery. The accuracy of automatic mass point measurement of a planar surface was 4 ± 13 μm in Z. The sensitivity of change detection on mapped tooth replicas was 0·03 mm with change ranging from 0·03 to 0·07 mm per annum. Different rates of change were clearly evident in different areas at different times. The results of this investigation suggest that annual change detection studies will provide a clearer picture of the pattern of tooth surface loss and, in combination with other analytical techniques, a more detailed explanation of the natural history of these lesions.  相似文献   

18.
Automatic close range photogrammetric measurements are of immense importance for a hazardous industry like mining. Unfortunately, available stereomatching techniques fail for high resolution close range images due to the large variation of object depth. In this paper a diffraction grating based laser dot-matrix projector along with a CCD camera is used for automatic close range measurement of a textureless and featureless object like massive sand stone strata. Targeting of object’s surface with large number of laser dots simultaneously solved two major problems: identification of conjugate points and precise image co-ordinate measurement. Least squares based template matching is used for centroid location of images of laser dots which provided 0.03 (mean) pixels accuracy. Using analytical techniques, camera model of the projector was developed by placing it rigidly on the teleseope of a geodimeter Bundle adjustment procedure is adopted for accurate estimation of interior orientation parameters of the projector which resulted precise co-ordinates of the object space during a test scan by the developed system.  相似文献   

19.
普通数码相机固定在高精度旋转平台上可集成为旋转全景相机,水平旋转多位置拍摄,可获取全景影像。给出了旋转全景相机的成像几何关系模型,实现了旋转全景相机的标定,利用稀疏分布的少量控制点(最少3个),即可解算出平台旋转中心坐标与起始方位角,及每张像片的外方位元素,再利用多站旋转拍摄的影像进行前方交会就可获得物方点坐标。实验结果表明,本文提出的方法在实际摄影测量中可少受视野和控制点数量的限制,通过较少的控制点即可解算出物方点坐标,且测量精度较好。该方法是在困难场景进行近景摄影测量的一种新的有效手段。  相似文献   

20.
This study introduces the new results of a novel low-cost digital zenith camera system operated in Turkey that uses astronomical and geodetic instrumentation. Currently, it is possible to determine deflections of the vertical (DoV) components by using a vast amount of information gathered from geo-referenced star images, tilt measurements, and Global Navigation Satellite System technology. This new design of an astro-geodetic camera system is used for calculating DoV components with 12 independent solutions on a test station in Istanbul, and additional observations were performed to investigate the external accuracy of the system on a test network. A specific leveling method is developed to align system toward the zenithal direction. The final results of the observations on a test station located in Istanbul indicate that the accuracy of the system is about ±0.19 arc-seconds in latitude and ±0.28 arc-seconds in longitude determination. The system has been further tested on a network with 4 control points that have averagely 20?km baselines. At the test network, the root mean square of the average value of the vertical deflections is calculated as ±0.36 arc-seconds. Furthermore, DoV components are compared with the values that are calculated using global geopotential models.  相似文献   

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