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A novel method of systematic error compensation for a position and orientation system

Progress in Natural Science:Materials International 2008年第8期18卷 953-963页

作者： xiuxiao yuan* school of remote sensing and information engineering, wuhan university, wuhan 430079, china school of remote sensing and information engineering Wuhan University Wuhan 430079 China

A novel method is introduced for self-calibration and elimination of systematic errors for a position and orientation system (POS). The method uses a combined bundle block adjustment with POS data (named the POS-supported bundle block adjustment) without a calibration field. On the basis of delivering strict observation equations for POS data, the specific scheme of compensating the translation and drift systematic errors in a POS is given, and a prototype system WuCAPS is developed. The effects of eliminating POS systematic errors using the POS-supported bundle block adjustment for different ground control conditions are tested using two sets of actual aerial photos. The first set was taken over a flat region in the suburbs of the city of Yingkou in china and tested at a scale of 1:2500. The second set was taken over a high mountainous region in the desert region of Xinjiang in china and tested at a scale of 1:32,000. The empirical results verified that the POS systematic errors can be completely eliminated and the photo elements of exterior orientation obtained by the POS-supported bundle block adjustment can satisfy the requirements of aerial photogrammetric topographic mapping when four full ground control points (GCPs) are emplaced in the corners of the adjustment block for large-scale images of flat regions, but only one full GCP emplaced in the center of the adjustment block is needed for medium-small scale images of mountainous regions. This not only demonstrates the validity of the established mathematical model and the feasibility of the method proposed in this paper, but also avoids the use of a special calibration field. Therefore, it can simplify the existing POS operation rules and dramatically save on practical application costs, laying the theoretical foundation for widespread use of POS.

关键词： Position and orientation system (POS) Systematic error POS-supported bundle block adjustment Self-calibration Accuracy

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Heterogeneous Face Biometrics Based on Guassian Weights and Invariant Features Synthesis

Heterogeneous Face Biometrics Based on Guassian Weights and ...

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2011 IEEE 2nd International Conference on Computing, Control and Industrial engineering(CCIE 2011)

作者： Mengyi Liu, Wei Xie, Xingwei Chen, Yufeng Ma, Yujing Guo, Jing Meng, Zhiyong yuan school of Computer, wuhan university wuhan 430072, china Qianqing Qin State Key Laboratory of information engineering in Surveying, Mapping & remote sensing wuhan university wuhan 430079, china

Face images captured in different spectral bands are said to be heterogeneous. Although the heterogeneous face images from a same individual are significantly different in appearance, we can still achieve multi-modal patterns matching by image processing and transforming. In this paper, we propose a novel recognition algorithm based on face synthesis from NIR （near infrared） to VIS （visual light）. For this first we use the illumination-invariant feature to construct face mapping function, then apply the correlation coefficient Gaussian kernel to determine the weights of synthesis components, and produce a synthesized VIS image corresponding to the query NIR image, thereby our problem is transformed to conventional homogeneous （VIS） face matching. Experimental results show that the proposed method effectively improves the recognition results.

关键词： Heterogeneous face biometrics Illumination- invariant feature Guassian weights Face synthesis Mapping

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Automatic extraction of forest fire line using MODIS data by multi-spectral image gradient technique

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遥感学报 2009年第3期13卷 535-541页

作者： FU Ying-chun1,2,yuan Xiu-xiao2,SONG Yan2,CHEN Mi3,GUO Tai-sheng1 1.Geography school,South Normal university,Guangdong Guangzhou 510631,china 2.school of remote sensing and information engineering,wuhan university,Hubei wuhan 430079,china 3.Department of Educational Technology,Capital Normal university,Beijing 100037,china 华南师范大学地理科学学院广东广州 510631 武汉大学遥感信息工程学院湖北武汉 430079 首都师范大学教育技术系北京 100037

remotely sensed infrared images are often used to assess forest fire ***,fire propagation mod-els are in use to forecast future *** traditional method of fire monitoring is mapping or extraction of burn scar and hotspot generally depending on abnormity character of spectral radiation and thermal infrared(TIR) *** the Dynamic Data-Driven Application System(DDDAS) concept,the fire propagation model will react to the image data,which should pro-duce more accurate predictions of fire *** the parameters of fire line and propagation direction extracted from the fire edge map are more important than burnt area estimation in real-time fire forecast *** method capable of auto-matically determining the fire perimeter,active fire line,and fire direction is developed in this paper based on some image proc-essing *** MODIS(Moderate resolution Imaging Spectrometer) is used as experimental data because of its widely spectral range bands and dynamic monitoring capacity for the ***,the optimal bands choice construction for spectral in-dices of NDBR(Normalized Difference Burn Ratio) capable of describing active fire intensity is *** the multi-spectral image gradient together with TIR channels and solar reflectance channels is used to map the fire edge which can be put on NDBR image for restriction against active fire *** B-spline model is applied to fit fire line segments to a spline curve for fire propagation front estimation by normal of the *** last,the kriging interpolation method based on hotspots with high gradient magnitude of fire line is used to extrapolate fire edge region to validate these *** image of forest fires located in Great Xing'an Mountains is processed and another image after 30mins is used as the referenced *** aspects prove that propagation of fire line are essentially consistent with the referenced *** expectation,entropy value of image conte

关键词： MODIS NDBR multi-spectral image gradient fire line extraction kriging interpolation

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A Parallel Interior Orientation Method Based on Lookup Table for UAV Images

A Parallel Interior Orientation Method Based on Lookup Table...

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2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services(ICSDM 2011)

作者： Ming Wang~(#1) Qingquan Li~(*2) Qingwu Hu~(#3) Hui yuan~# # school of remote sensing and information engineering wuhan university No.129 Luoyu Road wuhan Hubei P.R.china * LIESMARS wuhan university No.129 Luoyu Road wuhan Hubei P.R.china

＜正＞A parallel interior orientation method based on lookup table is proposed to deal with lens distortion and interior orientation issues of UAV（Unmanned Aerial Vehicle） images. Firstly,a distortion correction and interior orientation algorithm is proposed for UAV low altitude remote sensing images. Secondly,a mapping lookup table algorithm based on distortion correction model for interior orientation is presented.A parallel processing algorithm for distortion correction of batch nonmetric camera images is ***,an interior orientation experiment with 2531 UAV low altitude remote sensing images of two particular testing zones is *** experiment result shows that the processing speed of the new method promotes 3 times than that of traditional one,which is appropriate for interior orientation of batch remote sensing images,to achieve quick response to demand of fast mapping of low altitude remote sensing images from UAV platform.

关键词： Low altitude remote sensing Distortion correction Interior orientation Lookup table Parallel

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Fully automatic DOM generation method based on optical flow field dense image matching

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Geo-Spatial information Science 2023年第2期26卷 242-256页

作者： Wei yuan xiuxiao yuan Yang Cai Ryosuke Shibasaki school of remote sensing and information engineering Wuhan UniversityWuhanChina Center for Spatial information Science University of TokyoKashiwaJapan

Automatic Digital Orthophoto Map(DOM)generation plays an important role in many downstream works such as land use and cover detection,urban planning,and disaster *** DOM generation methods can generate promising results but always need ground object filtered DEM generation before otho-rectification;this can consume much time and produce building facade contained *** address this problem,a pixel-by-pixel digital differential rectification-based automatic DOM generation method is proposed in this ***,3D point clouds with texture are generated by dense image matching based on an optical flow field for a stereo pair of images,***,the grayscale of the digital differential rectification image is extracted directly from the point clouds element by element according to the nearest neighbor method for matched ***,the elevation is repaired grid-by-grid using the multi-layer Locally Refined B-spline(LR-B)interpolation method with triangular mesh constraint for the point clouds void area,and the grayscale is obtained by the indirect scheme of digital differential rectification to generate the pixel-by-pixel digital differentially rectified image of a single image ***,a seamline network is automatically searched using a disparity map optimization algorithm,and DOM is smartly *** qualitative and quantitative experimental results on three datasets were produced and evaluated,which confirmed the feasibility of the proposed method,and the DOM accuracy can reach 1 Ground Sample Distance(GSD)*** comparison experiment with the state-of-the-art commercial softwares showed that the proposed method generated DOM has a better visual effect on building boundaries and roof completeness with comparable accuracy and computational efficiency.

关键词： Digital Orthophoto Map(DOM) dense image matching based on optical flow field(OFFDIM) 3D point clouds with texture seamline network accuracy

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On RPC Model of Satellite Imagery

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Geo-Spatial information Science 2006年第4期9卷 285-292页

作者： ZHANG Guo yuan xiuxiao State Key Laboratory for information engineering in Surveying Mapping and Remote Sensing Wuhan University 129 Luoyu Road Wuhan 430079 China 不详

The RPC model has recently raised considerable interest in the photogrammetry and remote sensing community. The RPC is a generalized sensor model that is capable of achieving high approximation accuracy. Unfortunately, the computation of the parameters of RPC model is subject to the initial of the parameter in all available literature. An algorithm for computation of parameters of RPC model without initial value is presented and tested on SPOT-5, CBERS-2, ERSq imageries. RPC model is suitable for both push-broom and SAR imagery.

关键词： RPC model rigorous sensor mode satellite imagery

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Image-based self-position and orientation method for moving platform

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Science china(information Sciences) 2013年第4期56卷 5-18页

作者： LI DeRen LIU Yong yuan xiuxiao State Key Laboratory of information engineering in Surveying Mapping and Remote SensingWuhan University school of Electronic information Wuhan University school of remote sensing and information engineering Wuhan University

The position and orientation of moving platform mainly depends on global positioning system and inertial navigation system in the field of low-altitude surveying,mapping and remote sensing and land-based mobile mapping ***,GPS signal is unavailable in the application of deep space exploration and indoor robot *** such circumstances,image-based methods are very important for self-position and orientation of moving ***,this paper firstly introduces state of the art development of the image-based self-position and orientation method(ISPOM) for moving platform from the following aspects:1) A comparison among major image-based methods(i.e.,visual odometry,structure from motion,simultaneous localization and mapping) for position and orientation;2) types of moving platform;3) integration schemes of image sensor with other sensors;4) calculation methodology and quantity of image ***,the paper proposes a new scheme of ISPOM for mobile robot-depending merely on image *** takes the advantages of both monocular vision and stereo vision,and estimates the relative position and orientation of moving platform with high precision and high *** a word,ISPOM will gradually speed from research to application,as well as play a vital role in deep space exploration and indoor robot control.

关键词： self-position and orientation ISPOM visual odometry structure from motion simultaneous localization and mapping

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Transformation Method of Exterior Orientation Angular Elements Obtained via Position and Orientation System Under Gauss-Kruger Projection Coordinate System

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Geo-Spatial information Science 2010年第3期13卷 157-165页

作者： yuan xiuxiao ZHANG Xueping FU Jianhong school of remote sensing and information engineering Wuhan University 129 luoyu Road Wuhan 430079 China

Data obtained via airborne position and orientation system （POS） is in WGS 84 global geocentric reference frame, while the national coordinate reference system for topographic mapping in china is generally Gauss-Kruger projection coordinate system. Therefore, data obtained via a POS must be transformed to national coordinate system. Owing to the effects of earth curvature and me- ridian deviation, there are some errors in the process of angle transformation from roll, pitch, and heading （φ,θ,ψ） obtained directly via a POS to the attitude angles of images （φ,ω,κ） needed in photogrammetry. On the basis of effect theories of earth curvature and meridian deviation on exterior orientation angular elements of images, a method using a compensation matrix to correct the transformation errors from attitude angles obtained via the POS to exterior orientation angular elements of images is proposed in this paper. Moreover, the rigorous formula of the compensation matrix is deduced. Two sets of actual data obtained via a POS AV 510, which are different in scale and terrain, are selected and used to perform experiments. The empirical results not only indicate that the compensation matrix proposed in this paper is correct and practical but also show that transformation accuracy of exterior orientation angular elements obtained via the POS based on compensation matrix is relevant to the selection of vertical axis （a projection of central meridian） of Gauss-Kruger projection coordinate system; the proper vertical axis should be the Gauss-Kruger projection of the central meridian of projection zone in which the survey area locates. However, the transformation accuracy of exterior orientation angular elements is irrelevant to the choice of origin of coordinate system; it is appropriate that the origin of coordinate system locates at the center point of the survey area. Moreover, transformation accuracy of exterior orientation angular elements achieved based on the compensa- tion matri

关键词： position and orientation system (POS) exterior orientation elements of image earth curvature meridian deviation compensation matrix

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On Stereo Model Reconstitution in Aerial Photogrammetry

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Geo-Spatial information Science 2008年第4期11卷 235-242页

作者： yuan xiuxiao school of remote sensing and information engineering Wuhan University 129 Luoyu RoadWuhan 430079 China

This paper describes the operational issues and basic technical requirements of modern aerial photogrammetry. The accuracy of photogrammetric point determination and the y-parallax at corresponding model points is analyzed when stereo models are reconstituted by using the exterior orientation elements of aerial images. Real aerial photographs, at image scales from 1:2 500 to 1:6 0000, with DGPS/IMU data taken from various topographies in china were processed by our POS-supported bundle block adjustment program WuCAPS. The empirical results verified that the accuracy of the exterior orientation elements from bundle block adjustment meets the requirements of the specifications of topographic mapping. However, the accuracy of the exterior orientation elements determined by POS fails to meet the requirements of the specifica- tions of topographic mapping.

关键词： aerial triangulation (AT) GPS (global positioning system) POS (position and orientation system) stereo model reconstitution ground control points (GCPs) accuracy

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双目影像密集匹配方法的回顾与展望

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武汉大学学报(信息科学版) 2023年第11期48卷 1813-1833页

作者：沙洪俊袁修孝武汉大学遥感信息工程学院湖北武汉430079

以摄影测量为应用背景,综述了双目影像密集匹配方法。首先借助图表对局部密集匹配与全局密集匹配两类方法进行了简明的比较,指出各类方法的优缺点以及面临的主要挑战;然后分析了密集匹配中难以处理的建筑物遮挡问题,将航摄影像中普遍存... 详细信息

以摄影测量为应用背景,综述了双目影像密集匹配方法。首先借助图表对局部密集匹配与全局密集匹配两类方法进行了简明的比较,指出各类方法的优缺点以及面临的主要挑战;然后分析了密集匹配中难以处理的建筑物遮挡问题,将航摄影像中普遍存在的建筑物遮挡现象分为5种类型,阐述了现有遮挡检测与填充算法的针对性,为解决密集匹配中的空洞问题提供技术思路;最后展望了双目影像密集匹配的发展趋势。以期帮助读者全面了解传统双目影像密集匹配技术,对基于深度学习的密集匹配研究有所裨益。

关键词：双目影像密集匹配全局密集匹配局部密集匹配遮挡处理

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