Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729687
Dimitrios Alexios Karras
This paper suggests a novel MRSI image compression scheme, using the discrete wavelet transformation (DWT) and an improved integrated Bayesian reconstruction approach involving a parameter independent optimization scheme. The suggested methodology is based on maintenance of important second and higher order correlation features of DWT coefficients and image pixel intensities. While adversary image compression methodologies utilizing the DWT apply it to the whole original image uniformly, the herein presented novel approach, extending previous attempts of the same author, involves a refined DWT compression scheme. That is, different compression ratios are applied to the detailed wavelet coefficients belonging in the major regions of interest, clustered by employing textural descriptors as criteria in the image or transform domain, integrating different textural methods. Restoration of the original MRSI image from its corresponding regions of interest compressed images involves the inverse DWT and a sophisticated two stage Bayesian restoration approach, not requiring any user defined parameters, comparing conjugate gradient and Genetic algorithm optimization processes involving a refined objective function. An experimental study is conducted to qualitatively assessing the proposed schemes in comparison with the original DWT compression technique as well as with other rival approaches based on DWT, when applied to a set of brain MRSI images.
{"title":"Improved compression of MRSI images involving the discrete wavelet transform and an integrated two level restoration methodology comparing different textural and optimization schemes","authors":"Dimitrios Alexios Karras","doi":"10.1109/IST.2013.6729687","DOIUrl":"https://doi.org/10.1109/IST.2013.6729687","url":null,"abstract":"This paper suggests a novel MRSI image compression scheme, using the discrete wavelet transformation (DWT) and an improved integrated Bayesian reconstruction approach involving a parameter independent optimization scheme. The suggested methodology is based on maintenance of important second and higher order correlation features of DWT coefficients and image pixel intensities. While adversary image compression methodologies utilizing the DWT apply it to the whole original image uniformly, the herein presented novel approach, extending previous attempts of the same author, involves a refined DWT compression scheme. That is, different compression ratios are applied to the detailed wavelet coefficients belonging in the major regions of interest, clustered by employing textural descriptors as criteria in the image or transform domain, integrating different textural methods. Restoration of the original MRSI image from its corresponding regions of interest compressed images involves the inverse DWT and a sophisticated two stage Bayesian restoration approach, not requiring any user defined parameters, comparing conjugate gradient and Genetic algorithm optimization processes involving a refined objective function. An experimental study is conducted to qualitatively assessing the proposed schemes in comparison with the original DWT compression technique as well as with other rival approaches based on DWT, when applied to a set of brain MRSI images.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115389563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sizes of wheel hub are difficult to be measured directly, and a new image measurement method for the wheel hub is proposed in this paper. After images of wheel hub are captured and dealt with, useful information of wheel hub is extracted. Then the 3D-model of wheel hub which is composed of 4 circles is rebuilt accurately. Therefore, inner and outer sizes of wheel hub are measured indirectly. Some experiments have been done by the new method. The experiment results show that this new method is very effective and accurate sizes of wheel hub are obtained.
{"title":"A new image measurement method for wheel hub","authors":"Wei Zhang, Wenjuan Wang, Jingchun Wang, Zhihua Xiong","doi":"10.1109/IST.2013.6729666","DOIUrl":"https://doi.org/10.1109/IST.2013.6729666","url":null,"abstract":"Sizes of wheel hub are difficult to be measured directly, and a new image measurement method for the wheel hub is proposed in this paper. After images of wheel hub are captured and dealt with, useful information of wheel hub is extracted. Then the 3D-model of wheel hub which is composed of 4 circles is rebuilt accurately. Therefore, inner and outer sizes of wheel hub are measured indirectly. Some experiments have been done by the new method. The experiment results show that this new method is very effective and accurate sizes of wheel hub are obtained.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"10 17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124728882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729725
Z. Cao, Lijun Xu
Calderon's method was generalized to deal with the image reconstruction of electrical resistance tomography (ERT) from partial boundary measurements. The electrodes of the ERT sensor are located on part of its boundary, which indicates that the Dirichlet-to-Neumann map is obtained on an open subset of the whole boundary. However, the Dirichlet-to-Neumann map is typically approximated from the data collected on the whole boundary. Conformal transformation was used to link Dirichlet-to-Neumann map on partial boundary to that on the whole boundary. The implementation of Calderon's method was based on the map constructed from measurements on partial boundary and conformal transformation. It was a direct algorithm of the image reconstruction, as the value of the conductivity at any position can be obtained independently. Simulated results validated the feasibility and effectiveness of the proposed method in ERT in the case of measurement on partial boundary.
{"title":"Direct image reconstruction for ERT by using measurements on partial boundary","authors":"Z. Cao, Lijun Xu","doi":"10.1109/IST.2013.6729725","DOIUrl":"https://doi.org/10.1109/IST.2013.6729725","url":null,"abstract":"Calderon's method was generalized to deal with the image reconstruction of electrical resistance tomography (ERT) from partial boundary measurements. The electrodes of the ERT sensor are located on part of its boundary, which indicates that the Dirichlet-to-Neumann map is obtained on an open subset of the whole boundary. However, the Dirichlet-to-Neumann map is typically approximated from the data collected on the whole boundary. Conformal transformation was used to link Dirichlet-to-Neumann map on partial boundary to that on the whole boundary. The implementation of Calderon's method was based on the map constructed from measurements on partial boundary and conformal transformation. It was a direct algorithm of the image reconstruction, as the value of the conductivity at any position can be obtained independently. Simulated results validated the feasibility and effectiveness of the proposed method in ERT in the case of measurement on partial boundary.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123519868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729717
S. Yousaf, S. Qin
Single image blind deblurring is a challenging and well known ill-posed problem. Recently, with the emergence of many effective algorithms to estimate blur kernels, the research for blur kernel refinement and for developing fast and reliable methods to utilize effectual image regions is becoming increasingly important. Generally, multiscale framework is used for blur kernel refinement to avoid trapping in local minima, however, we recommend to use images with increasing contrast levels which gradually improves blur kernel estimation. To make the kernel estimation more efficient, we used effectual patches instead of whole image, which not only make the restoration efficient but also improves the results by discarding the ineffectual regions. It is especially well suited for the large satellite images corrupted with atmospheric turbulence, motion blur or objects with uniform background. After extensive analysis and comparison with other methods, speed-up robust features (SURF) based patch selection method is proposed. In addition, masking based on gradient directions is also found useful in suppressing misleading regions. Finally, a new scheme is proposed and analyzed which combine the effectual regions as well as contrast levels. The results are found to be improved significantly using SURF based patches, gradient direction masking and contrast level images. The comparisons show the effectiveness of proposed approach.
{"title":"Blur kernel optimization with contrast levels and effectual patch selection using SURF features","authors":"S. Yousaf, S. Qin","doi":"10.1109/IST.2013.6729717","DOIUrl":"https://doi.org/10.1109/IST.2013.6729717","url":null,"abstract":"Single image blind deblurring is a challenging and well known ill-posed problem. Recently, with the emergence of many effective algorithms to estimate blur kernels, the research for blur kernel refinement and for developing fast and reliable methods to utilize effectual image regions is becoming increasingly important. Generally, multiscale framework is used for blur kernel refinement to avoid trapping in local minima, however, we recommend to use images with increasing contrast levels which gradually improves blur kernel estimation. To make the kernel estimation more efficient, we used effectual patches instead of whole image, which not only make the restoration efficient but also improves the results by discarding the ineffectual regions. It is especially well suited for the large satellite images corrupted with atmospheric turbulence, motion blur or objects with uniform background. After extensive analysis and comparison with other methods, speed-up robust features (SURF) based patch selection method is proposed. In addition, masking based on gradient directions is also found useful in suppressing misleading regions. Finally, a new scheme is proposed and analyzed which combine the effectual regions as well as contrast levels. The results are found to be improved significantly using SURF based patches, gradient direction masking and contrast level images. The comparisons show the effectiveness of proposed approach.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129107381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729737
Haiyun Fan, Wei Cai, Jianyong Zhao, G. Shang
High-speed atomic force microscope has been a promising tool for dynamic process investigation in the fields such as crystallization, phase change, biological and biophysical events, nanolithography as well as industrial serial production. In the paper, the principle of atomic and friction force microscopic imaging is first described. A high-speed atomic and friction force microscopic imaging system based on a novel optical beam deflection design is then presented in details. Topographic and friction force images of a fluorine-doped tin oxide-coated conductive glass surface taken with the system are given, showing that the system has the high speed imaging capability with a nanometer resolution.
{"title":"A high-speed atomic and friction force microscopic imaging system based on a novel optical beam deflection design","authors":"Haiyun Fan, Wei Cai, Jianyong Zhao, G. Shang","doi":"10.1109/IST.2013.6729737","DOIUrl":"https://doi.org/10.1109/IST.2013.6729737","url":null,"abstract":"High-speed atomic force microscope has been a promising tool for dynamic process investigation in the fields such as crystallization, phase change, biological and biophysical events, nanolithography as well as industrial serial production. In the paper, the principle of atomic and friction force microscopic imaging is first described. A high-speed atomic and friction force microscopic imaging system based on a novel optical beam deflection design is then presented in details. Topographic and friction force images of a fluorine-doped tin oxide-coated conductive glass surface taken with the system are given, showing that the system has the high speed imaging capability with a nanometer resolution.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130366575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729736
Rui Wang, Lei Mei
Teacher detection and tracking is the most important and fundamental functionality in the implementation of the Intelligent Tracking Teaching System (ITTS). In order to track teacher's movement in real-time, face tracking in rostrum region is initiated by the normalized size face adaboost detection followed with the Expectation Maximization (EM) algorithm based on HSV color space and prediction of face position. The split line and position-based visual servo were adopted to realize the tracking strategy, which is trying to keep the teacher in the middle of image by controlling pan/tilt/zoom monocular camera in either rostrum region or classroom region. Furthermore, the student camera will adaptive pan/tilt during the interaction process between teacher and students, and a real-time display on the GUI window is given. The experiment results demonstrated fast and extremely smooth pursuit for teacher's motion despite time-varying variation in illumination, with sustained robustness to the change of pose (e.g., from frontal face to nearly back of head).
{"title":"Intelligent Tracking Teaching System based on monocular active vision","authors":"Rui Wang, Lei Mei","doi":"10.1109/IST.2013.6729736","DOIUrl":"https://doi.org/10.1109/IST.2013.6729736","url":null,"abstract":"Teacher detection and tracking is the most important and fundamental functionality in the implementation of the Intelligent Tracking Teaching System (ITTS). In order to track teacher's movement in real-time, face tracking in rostrum region is initiated by the normalized size face adaboost detection followed with the Expectation Maximization (EM) algorithm based on HSV color space and prediction of face position. The split line and position-based visual servo were adopted to realize the tracking strategy, which is trying to keep the teacher in the middle of image by controlling pan/tilt/zoom monocular camera in either rostrum region or classroom region. Furthermore, the student camera will adaptive pan/tilt during the interaction process between teacher and students, and a real-time display on the GUI window is given. The experiment results demonstrated fast and extremely smooth pursuit for teacher's motion despite time-varying variation in illumination, with sustained robustness to the change of pose (e.g., from frontal face to nearly back of head).","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132124144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729732
Qiaoyun Fan, Ying Zhang
The Campbell-Stokes sunshine recorder is an instrument which can measure the solar radiation by using the scorch on the recorder card. It is short for C-S. The weak scorch and the strong scorch represent different solar radiation. The weak scorch is so hard to extract that the radiation represented by the weak scorch always be neglected. The present methods reduce the accuracy of extraction, because these methods only extract the strong scorch and falsely treat the weak scorch as background. The RGB (red, green, blue) color image has more details of scorch than gray image, so a new method for scorch extraction based on the multivariable thresholding is proposed in this paper. The method segments the scorch with self-adaptive thresholds and optimizes the extraction with the amendatory coefficient, consequently, the robustness and accuracy of the algorithm is improved.
{"title":"A scorch extraction method for the Campbell-Stokes sunshine recorder based on multivariable thresholding","authors":"Qiaoyun Fan, Ying Zhang","doi":"10.1109/IST.2013.6729732","DOIUrl":"https://doi.org/10.1109/IST.2013.6729732","url":null,"abstract":"The Campbell-Stokes sunshine recorder is an instrument which can measure the solar radiation by using the scorch on the recorder card. It is short for C-S. The weak scorch and the strong scorch represent different solar radiation. The weak scorch is so hard to extract that the radiation represented by the weak scorch always be neglected. The present methods reduce the accuracy of extraction, because these methods only extract the strong scorch and falsely treat the weak scorch as background. The RGB (red, green, blue) color image has more details of scorch than gray image, so a new method for scorch extraction based on the multivariable thresholding is proposed in this paper. The method segments the scorch with self-adaptive thresholds and optimizes the extraction with the amendatory coefficient, consequently, the robustness and accuracy of the algorithm is improved.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121202524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729715
L. Zhang, Qian Long, C. Pan, Zhihua Feng
A new scanning strategy named correlation steered scanning for Scanning Probe Microscopy (SPM) is proposed in this paper. Different from the traditional raster scanning, this method adopts scanning band by band. A narrow band of the sample is scanned at first, and then a band with a partial overlap to the first one is scanned reversely. Each band is composed of several blocks. The overlap between blocks in the corresponding position of two adjacent bands is utilized to estimate the relative drift speed in real-time based on the digital image correlation technique. Estimated results are employed to steer the following block scanning in order to keep the bands overlapped and parallel to one another. A large area can be scanned completely by repeating this process, without missing any information of the sample. When all the bands are scanned, a data processing program is applied to calibrate the thermal drift with the estimated drift speed, and the redundant areas caused by the overlap is corrected using a bilinear interpolation, then a very large area and drift-free image can be obtained. An arbitrarily large area can be scanned theoretically, because the drift within a small block can be estimated and compensated using the correlation steered scanning method in real-time. Experiments by simulating with a gray scale image were conducted and excellent result had been achieved. This method will be very useful for SPMs aimed at ultrahigh precision and large scan area.
{"title":"Principle and simulation of correlation steered scanning for SPM to overcome thermal drift","authors":"L. Zhang, Qian Long, C. Pan, Zhihua Feng","doi":"10.1109/IST.2013.6729715","DOIUrl":"https://doi.org/10.1109/IST.2013.6729715","url":null,"abstract":"A new scanning strategy named correlation steered scanning for Scanning Probe Microscopy (SPM) is proposed in this paper. Different from the traditional raster scanning, this method adopts scanning band by band. A narrow band of the sample is scanned at first, and then a band with a partial overlap to the first one is scanned reversely. Each band is composed of several blocks. The overlap between blocks in the corresponding position of two adjacent bands is utilized to estimate the relative drift speed in real-time based on the digital image correlation technique. Estimated results are employed to steer the following block scanning in order to keep the bands overlapped and parallel to one another. A large area can be scanned completely by repeating this process, without missing any information of the sample. When all the bands are scanned, a data processing program is applied to calibrate the thermal drift with the estimated drift speed, and the redundant areas caused by the overlap is corrected using a bilinear interpolation, then a very large area and drift-free image can be obtained. An arbitrarily large area can be scanned theoretically, because the drift within a small block can be estimated and compensated using the correlation steered scanning method in real-time. Experiments by simulating with a gray scale image were conducted and excellent result had been achieved. This method will be very useful for SPMs aimed at ultrahigh precision and large scan area.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125677918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729652
Juanjuan Jing, Qunbo Lv, Da-lian Shi
Due to the imperfections in producing, a finite number of pixels in an array will be defective. Regarding a Fourier transform Imaging spectrometer, the existence of defective pixels will not only affect the quality of the image, but also cause interferogram extraction error, and then result in a distortion of the reconstructed spectrum. So the defective pixels must be accurately distinguished and eliminated by data processing. In this paper, according to the characteristic of the Fourier transform Imaging spectrometer, a distinguishing and eliminating method is carried out. The Fourier transform Imaging spectrometer is illuminated by a uniform light. The data is fitted in the spatial dimension; the error between the actual data and the fitted data is computed and divided by the standard deviation. By choosing a proper threshold value, the cold, hot and non-saturated pixels can be effectively distinguished. Single defective pixels can be effectively corrected by spatial dimension interpolating; for clustered defective pixels, spatial dimension interpolating and interference dimension fitting are taken and the result is averaged. The experimental result proves that this method is effective and also efficient both for uniform light illuminated data and push broom data.
{"title":"Research on detection and correction of defective pixels of LASIS","authors":"Juanjuan Jing, Qunbo Lv, Da-lian Shi","doi":"10.1109/IST.2013.6729652","DOIUrl":"https://doi.org/10.1109/IST.2013.6729652","url":null,"abstract":"Due to the imperfections in producing, a finite number of pixels in an array will be defective. Regarding a Fourier transform Imaging spectrometer, the existence of defective pixels will not only affect the quality of the image, but also cause interferogram extraction error, and then result in a distortion of the reconstructed spectrum. So the defective pixels must be accurately distinguished and eliminated by data processing. In this paper, according to the characteristic of the Fourier transform Imaging spectrometer, a distinguishing and eliminating method is carried out. The Fourier transform Imaging spectrometer is illuminated by a uniform light. The data is fitted in the spatial dimension; the error between the actual data and the fitted data is computed and divided by the standard deviation. By choosing a proper threshold value, the cold, hot and non-saturated pixels can be effectively distinguished. Single defective pixels can be effectively corrected by spatial dimension interpolating; for clustered defective pixels, spatial dimension interpolating and interference dimension fitting are taken and the result is averaged. The experimental result proves that this method is effective and also efficient both for uniform light illuminated data and push broom data.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124715133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.1109/IST.2013.6729664
T. Xu, Lijun Xu, Xiaolu Li, Xiangrui Tian
In order to analyze the impact of attitude measurement errors (roll, pitch and yaw errors) on the positioning accuracy of laser footprints, the positioning principle of airborne Light Detection And Ranging (LiDAR) was analyzed and the transformation relationship between the attitude measurement errors and the positioning errors of laser footprints was deduced. Considering the actual complex terrain, three different terrains were simulated to analyze the influence of attitude measurement errors on the positioning accuracy of laser footprints. After simulating calculations, some conclusions can be obtained, such as the impact of the roll angle error on the positioning accuracy of laser footprints is the most significant, the impact of the yaw angle error is minimal. And the results of the study will offer a theory foundation for the study of the positioning accuracy of laser footprints and practical application.
{"title":"Impact of attitude measurement errors on laser footprints positioning accuracy","authors":"T. Xu, Lijun Xu, Xiaolu Li, Xiangrui Tian","doi":"10.1109/IST.2013.6729664","DOIUrl":"https://doi.org/10.1109/IST.2013.6729664","url":null,"abstract":"In order to analyze the impact of attitude measurement errors (roll, pitch and yaw errors) on the positioning accuracy of laser footprints, the positioning principle of airborne Light Detection And Ranging (LiDAR) was analyzed and the transformation relationship between the attitude measurement errors and the positioning errors of laser footprints was deduced. Considering the actual complex terrain, three different terrains were simulated to analyze the influence of attitude measurement errors on the positioning accuracy of laser footprints. After simulating calculations, some conclusions can be obtained, such as the impact of the roll angle error on the positioning accuracy of laser footprints is the most significant, the impact of the yaw angle error is minimal. And the results of the study will offer a theory foundation for the study of the positioning accuracy of laser footprints and practical application.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125850585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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