{"title":"Weighted total least squares for rigid body transformation and comparative study on heteroscedastic points","authors":"Yongjun Zhou, Caihua Deng, Jianjun Zhu","doi":"10.1117/12.912746","DOIUrl":"https://doi.org/10.1117/12.912746","url":null,"abstract":"Aligning two point clouds is the iterated closest point algorithm which starts with two point clouds to estimate three translates and rotations. Traditional registration are searching the optimal solutions at the cost function of the minimum residual squares without consideration of points covariance. Closed-form or iterative least squares methods are performed to search the solutions, and total least squares (TLS) methods are introduced in recent years. The ordinary least squares (OLS) and OTLS methods can not work on the heteroscedastic cases. So element-wise weighted TLS (EWTLS) and row-wise weighted TLS (RWTLS) methods are introduced to solve the rigid body transformation problem after the initial values obtained by Procrustes analysis method. Comparative studies are made with the weighted and unweighted estimators of OLS, TLS, mixed OLS and TLS, EWTLS and RWTLS. The results indicate that the RWTLS method is the highest accuracy estimator, and be much more accurate than the unweighted OLS and TLS methods.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129573995","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}
{"title":"Deformation analysis on Zhongba (Tibet) earthquakes as constrained by InSAR measurement","authors":"Xiaochun Shi, Zhibiao Du, C. Wang, Chenggang Li","doi":"10.1117/12.912447","DOIUrl":"https://doi.org/10.1117/12.912447","url":null,"abstract":"Differential Radar Interferometry (DInSAR) is capable of all-weather and all time observation. It is an unprecedented and profound developing potential space technology with the superiority of continuous space coverage compared to other discrete measurements. The Envisat images from ESA were used in this paper to derive the co-seismic deformation interferograms caused by the Zhongba Ms6.7 earthquake on July 12, 2004 and Ms6.5 earthquake on April 8, 2005 occurred in Tibet. The results indicate that two earthquake events caused the deformation in an area of 20 km with a maximum LOS change about 19.0 cm and 30.5 cm respectively. Adopting isotropic elastic half-space dislocation model, we estimated that two earthquakes epicenter locate at E 83.71°, N 30.70° with a seismic moment tensor Mw6.1 and E 83.72°, N 30.52° with a seismic moment tensor Mw6.2, dominated by normal fault fracture with maximum slip 1 m and 1.4 m, located at the intersection of NW Brahmaputra fault zone and the near side NNE Palongcuo-Cangmucuo fault zone.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124608223","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}
{"title":"Calibration of full-waveform lidar data by range between sensor and target and its impact for landscape classification","authors":"Guangcai Xu, Y. Pang, Zeng-yuan Li","doi":"10.1117/12.912741","DOIUrl":"https://doi.org/10.1117/12.912741","url":null,"abstract":"Full-waveform LIDAR systems have already been proved to have large potentialities in characterizing the landscape. Especially in the forestry area, more detail information is provided by waveform data processing and new opportunities are inspired for point cloud classification from waveform characteristics. Generally, different objects response to the emitted pulse diversely, which is incarnated in the waveform data. But acquired data is influenced by several factors, so it cannot be directly used in wide area before calibration. Within one flight, some factors such as laser scanner systems, atmosphere conditions, etc. can be considered as constant. Therefore, range between sensor and object could be regarded as one of the most important factor and was introduced to calibrate Gaussian decomposition results of waveform data. Meanwhile, the number of return echoes was also considered in calibration process. After these improvements, the parameters including Gaussian amplitude, standard deviation and energy extracted from waveform data by Gaussian decomposition method were applied for test area classification. A supervised classifier was implemented to distinguish building, grass, conifer and broadleaf. Then the accuracy of the classification results of calibrated and non-calibrated was analyzed, which indicates that the calibrated full-waveform data possibly increase the potential application in landscape identification.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126409688","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}
{"title":"InSAR interferogram filtering methods in the contourlet domain","authors":"C. Zhu, H. Fan, K. Deng, Jiqun Xue","doi":"10.1117/12.912331","DOIUrl":"https://doi.org/10.1117/12.912331","url":null,"abstract":"The interferogram contains much noise which reduce the precision when phase unwrapping. In this paper, we filter the interferogram in the contourlet domain. The contourlet transform (CT) has flexible aspect ratios and can effectively capture geometry information of interferogram edges. However, the CT is lack of the feature of translation invariance. Hereby we study the cycle-spinning CT (CSCT) to convert the commonly CT to translation invariance. Firstly, we translate the original interferogram before being decomposed. Secondly, we decompose the translated interferogram using the CT, and modify the coefficients. Finally, we reconstructed the interferogram with the modified coefficients and translate back. In the experimentation, the data is selected both from the plain and mountain area. The results show that the CSCT outperform the discrete wavelet transform (DWT), the CT in terms of the residues number and the mean value of the correlation coefficient. In texture retrieval, the CSCT shows improvements in performance for various oriented texture and the results indicate a better compromise between noise removal and the detail preservation. Besides, in the mountain area, the CSCT performed well than in the plain area because there is more texture in the mountain area.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127899938","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}
{"title":"Application of 3D laser scanning technology to a goldmine underground survey","authors":"Lei Li, Jian Wang, Tingting Wang, Xiaogang Zhang","doi":"10.1117/12.912349","DOIUrl":"https://doi.org/10.1117/12.912349","url":null,"abstract":"Detailed data acquisition under goldmine is very difficult with traditional technology due to its dangerous, dark and damp environment. 3D Laser scanner is useful to capture the 3D data underground a goldmine because it can capture density points quickly and safely. Based on the experiment of applying 3D laser scanning technology to the underground survey in a goldmine, the method of 3D data capture and data processing are introduced in detail. 7 scans were performed to capture almost 29 million points within 2 hours using Trimble FX Laser Scanner. Accurate spatial information such as section, surface area and volume and 3D model of roadway are obtained from the point clouds at last. Results of the experiment indicate that 3D laser scanning technology cannot only greatly improve the safety and efficiency of underground survey but also assist in building Digital Mine database. It really provides a new method for underground survey.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114826805","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}
{"title":"Determination of spherical target center from TLS data based on a method of nonlinear least squares","authors":"D. Yue, P. Guo","doi":"10.1117/12.912979","DOIUrl":"https://doi.org/10.1117/12.912979","url":null,"abstract":"Terrestrial Laser Scanning (TLS) is a high-precision measurement technique, which has been widely used in many fields. Since large objects cannot be measured from one station, the data from multiple stations need to be connected together. The common target approach is the widely used. In TLS, targets are used in the registration, geo-referencing, and also as check points, therefore their positioning accuracy directly affects the precision of data processing results. As a spherical target can be scanned from any direction, it is more widely used than a plane target. This paper model the surface of a target by using the Levenberg-Marquardt method of nonlinear least squares to acquire the coordinates of the target centres. Comparing the obtained radius to the given one, we can evaluate the proposed method. The precise determination of target centres can provide accurate data for three-dimensional modelling.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"50 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120868574","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}
{"title":"Feasibility analysis of the robust adaptive Kalman filtering model","authors":"Zhang-yu Huang, Xi-qiang Chen","doi":"10.1117/12.913955","DOIUrl":"https://doi.org/10.1117/12.913955","url":null,"abstract":"Classic Kalman Filter is a dynamic and efficient data processing method, but there are some limitations. Robust estimation theory will be introduced to the Classical Kalman Filter (CKF) method, that is: Robust Adaptive Kalman Filter (RAKF). There is a clear advantage in reducing the observational errors and the state prediction errors context. In this paper, it uses a dam deformation monitoring example to illustrate that the RAKF is more reliable than the CKF in the deformation monitoring data processing effectively, and it is obviously in inhibiting the aspect of the state prediction errors and the observational errors. It is a viable and effective method of estimation method.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"8286 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130182665","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}
{"title":"Comparison of lidar's characteristics at different flying height","authors":"Qiong Ding, Wu Chen, B. King, Yanxiong Liu","doi":"10.1117/12.912611","DOIUrl":"https://doi.org/10.1117/12.912611","url":null,"abstract":"As the cost of LiDAR equipment is high and different projects prefer different goals, the flying scheme needs to be strict planned to save cost and energy. In this study, LiDAR's ability at different flying height was tested. Two trials with different flying height are compared. Analysis was conducted by considering the relative accuracy, intensity and penetration ability to find out the difference of two trials. The result shows the relative accuracy between these two trials is 0.37 m. True relative accuracy is achieved when removing canopy as large interpolation errors often exist at places with great slope changes like the canopy. Intensity values decrease greatly with the increase of flying height due to the longer travel distance and more energy loss in atmosphere. Statistical results showed that in each trial high intensity is apt to be from low canopy and only return. LiDAR vegetation penetration ability decreased greatly at low vegetation due to the enlarged footprint and weakened energy, but it doesn't change on large vegetation.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130680546","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}
Xiaoxue Li, R. An, Chunmei Qu, Renmin Yang, Tianyu Gong, Hong Wu, L. Lu, Yingying Liu, X. Liang
{"title":"Extraction of the vegetation fraction based on a stepwise spectral mixture analysis for the central and eastern area of source region of Yangtze, Yellow and Lantsang Rivers","authors":"Xiaoxue Li, R. An, Chunmei Qu, Renmin Yang, Tianyu Gong, Hong Wu, L. Lu, Yingying Liu, X. Liang","doi":"10.1117/12.912343","DOIUrl":"https://doi.org/10.1117/12.912343","url":null,"abstract":"Vegetation cover is an important parameter used in monitoring ecological changes of the source region of Yangtze, Yellow and Lantsang Rivers and understanding human activities. Thus, how to extract the large area's vegetation fraction quickly effectively is an open question. The traditional linear spectral mixture analysis (LSMA) assumes that the spectral reflectance is a mixture of several fixed endmember spectral values, which ignores considerable within-class variability. However, multiple endmember spectral mixture analysis (MESMA) overcomes the disadvantage by allowing the number and types to vary on a per-pixel basis. This paper proposes a stepwise spectral mixture analysis (SSMA) containing two steps of MESMA and adding the endmember fraction rationality rule in each step. The aim of the first step is to detect the pixels that didn't contain vegetation information at all and these pixels would be masked out. In the second step, MESMA is used to unmix the pixels only reserved in previous process. The results show that SSMA is more accurate than LSMA in extracting the vegetation fraction for the Three-Rivers. This means that SSMA is a good substitute for LSMA in studies on ecological changes. The concept of SSMA also can be applied for other large study areas.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128808791","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}
{"title":"A model based approach to intensity normalization for terrestrial laser scanners","authors":"A. Errington, B. Daku, A. Prugger","doi":"10.1117/12.912591","DOIUrl":"https://doi.org/10.1117/12.912591","url":null,"abstract":"Terrestrial Laser Scanners (TLS) measure distances and record angles to objects in the surrounding environment. In addition, a TLS also measures the amount of reflected light (intensity). The intensity value provided by the TLS is a function of the distance to the object, angle of incidence, the object's reflectance properties and internal parameters of the laser scanner. In some cases it is possible to obtain the reflectance properties of an object from the intensity value, distance and angle of incidence. The object reflectance provides information that can be used to improve the speed and accuracy in segmentation or registration algorithms. In order to model the relationship between intensity and reflectance it is necessary to calibrate the model for the specific laser scanner using reflectance targets. These targets have surfaces calibrated to a specific reflectance value. The targets are expensive and it is a time consuming task to calibrate the model in this manner. Alternatively, this paper presents a method to determine the 'normalized intensity' using a similar model but without using the calibrated reflectance targets. Instead, overlapping registered scans are used to determine the model parameters. The normalized intensity can be used in the same way that object reflectance is used in segmentation and registration algorithms. The only difference is that it is not a true reflectance value. The scans used to test the method were taken with a 3DLS-K2 TLS. It is shown that using this method produces normalized intensity values that are independent of distance, instead providing a value related to the actual object's reflectance.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123766302","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}