International Symposium on Lidar and Radar Mapping Technologies最新文献_第6页

Study of matching the lidar data set on overlapping flightstrips 重叠飞行带激光雷达数据集匹配研究

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-06-12 DOI: 10.1117/12.912745

Jian-qing Shi, Zhao-liang Shi

引用次数: 1

Fusion of airborne lidar point cloud and imagery captured from integrated sensor system 机载激光雷达点云和集成传感器系统捕获图像的融合

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-06-12 DOI: 10.1117/12.912829

Xiangyun Hu, Lizhi Ye, Xiaokai Li, Junfeng Zhu, H. Long

{"title":"Fusion of airborne lidar point cloud and imagery captured from integrated sensor system","authors":"Xiangyun Hu, Lizhi Ye, Xiaokai Li, Junfeng Zhu, H. Long","doi":"10.1117/12.912829","DOIUrl":"https://doi.org/10.1117/12.912829","url":null,"abstract":"By fusing with other sensory data, especially high resolution imagery, LiDAR can be a good source of information for DEM extraction and feature extraction because it provides integrated information of geometric (surface), spectral and spatial property. Nowadays airborne LiDAR system vendors such as Leica and Toposys and others are providing systems with integrated camera capturing 3D point cloud and high resolution images simultaneously, for example, Leica's ALS50II, ALS60, and Toposys' FALCON II. The full potential of an integrated system in surveying and mapping has to be explored yet. In this paper, taking example of Toposys' FALCON data, we discuss some issues of data fusion: (1) cross sensor data registration, including geometric error budget; (2) two methods of fused data generation - imagery fused with range image re-sampled from point cloud and point cloud with assigned image pixel attributes. (3) Occlusion problem and how to solve it. We also show the segmentation results by a combined segmentation algorithm carried out on the fused multiple layer data. The results demonstrate the advantages of data fusion due to rich information and cues of objects in the fused data.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"7 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":"127694124","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}

引用次数: 2

A new filtering algorithm for lidar data fused with image segmentation information 一种融合图像分割信息的激光雷达数据滤波新算法

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-06-12 DOI: 10.1117/12.912808

Zhenghui Xu, Ling-xiang Liu, Xiaodong Liu

引用次数: 1

Automatic edge extraction by lidar-optical data fusion adaptive for complex building shapes 自适应复杂建筑形状的激光雷达光学数据融合自动边缘提取

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-06-12 DOI: 10.1117/12.912921

Yong Li

{"title":"Automatic edge extraction by lidar-optical data fusion adaptive for complex building shapes","authors":"Yong Li","doi":"10.1117/12.912921","DOIUrl":"https://doi.org/10.1117/12.912921","url":null,"abstract":"This paper presents a new method of automatic edge extraction by LIDAR-optical fusion adaptive for complex building shapes. Different building features are extracted respectively from the two data sources and fused to form the ultimate complete building edges. Firstly, the points of each roof patch are detected from LIDAR point cloud, which consists of four steps, namely filtering, building detection, wall point removing and roof patch detection. Secondly, the initial edges are extracted from images using the improved Canny detector which is conducted by the edge location information from LIDAR point cloud in the form of edge buffer areas. Finally, the roof patch and initial edges are integrated to form the ultimate complete edge by mathematical morphology. This method presents an innovative strategy to fuse the two data sources to get building edges of high accuracy, which don't impose any constraints or rules on building shape. So this method is fully data-driven. The experimental results demonstrate that our method can automatically extract the accurate edges of various buildings of complex shapes, which have high robustness for complex scene.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"7 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":"114418708","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}

引用次数: 2

Estimation of forest biophysical parameters using small-footprint lidar with low density in a coniferous forest 利用低密度小足迹激光雷达估算针叶林森林生物物理参数

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-06-12 DOI: 10.1117/12.912590

Qisheng He, Hanwei Xu, Youjing Zhang

{"title":"Estimation of forest biophysical parameters using small-footprint lidar with low density in a coniferous forest","authors":"Qisheng He, Hanwei Xu, Youjing Zhang","doi":"10.1117/12.912590","DOIUrl":"https://doi.org/10.1117/12.912590","url":null,"abstract":"This study aimed to estimate forest stand variables, such as mean height, mean crown diameter, mean diameter breast height (DBH), basal area, tree density, and aboveground biomass in coniferous tree species of Picea crassifolia stand in the Qilian Mountain, western China using low density small-footprint airborne LiDAR data. Firstly, LiDAR points were classified into ground points and vegetation points. Then the statistics of vegetation points, including height quantiles, mean height, and fractional cover was calculated. The stepwise multiple regression models were used to develop the equations relating the statistics of vegetation points to field inventory data and field-based estimates of biomass for each sample plot. The result shows that the mean height, biomass and basal area have a higher accuracy with R2 of 0.830, 0.736 and 0.657, respectively, while the mean diameter breast height DBH, crown diameter and tree density have a lower accuracy with R2 of 0.491, 0.356 and 0.403, respectively. Finally, the spatial forest stand variable maps were established using the stepwise multiple regression equations. These maps were very useful for updating and modifying forest base maps and forest register.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"844 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":"123295381","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}

引用次数: 2

Study on the application of lidar technology and tidal model in determining island coastline 激光雷达技术与潮汐模式在海岛海岸线确定中的应用研究

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-06-12 DOI: 10.1117/12.912828

Xinghua Zhou, Feng Li

引用次数: 0

Application of back-propagation neural network interpolation method supported by lidar data and geomorphic unit classification 基于激光雷达数据和地貌单元分类的反向传播神经网络插值方法的应用

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-06-12 DOI: 10.1117/12.912602

X. Ge, Tingting Zhang, A. Zhu, Xianrong Ding, Ligang Cheng, Qing Li

{"title":"Application of back-propagation neural network interpolation method supported by lidar data and geomorphic unit classification","authors":"X. Ge, Tingting Zhang, A. Zhu, Xianrong Ding, Ligang Cheng, Qing Li","doi":"10.1117/12.912602","DOIUrl":"https://doi.org/10.1117/12.912602","url":null,"abstract":"In tidal flat terrain of the yellow sea radial sand ridges in eastern China, tidal creeks with water are regarded as the \"blind area\" of LiDAR surveys. These areas are also hard to be surveyed efficiently and cheaply by traditional surveying methods. To solve the problems of high cost and great effort, this paper researches a Back-Propagation neural network interpolation method, supported by LiDAR data and geomorphic unit classification. The interpolation model structure contains 2 hidden layers with 6 neurons in every layer. This research consists of the following steps: (1) geomorphic unit classification by analyzing dynamic geomorphology of tidal creeks, (2) terrain spatial regularity learning by analyzing a large set of LiDAR data, (3) model building based on the Back-Propagation neural network technique, (4) sample data training with similar tidal creek geomorphic unit data, (5) model structure and parameters determination, (6) testing by comparing the results with the survey data. The test results show that the developed methodology is effective in producing the terrain lacking LiDAR DEM in tidal flats.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"18 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":"126629219","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}

引用次数: 0

Triangular mesh establishment of 3D laser scanning data based on ellipsoidal projection 基于椭球投影的三维激光扫描数据三角网格建立

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-06-12 DOI: 10.1117/12.913017

De-hua Zheng, Jia Li

{"title":"Triangular mesh establishment of 3D laser scanning data based on ellipsoidal projection","authors":"De-hua Zheng, Jia Li","doi":"10.1117/12.913017","DOIUrl":"https://doi.org/10.1117/12.913017","url":null,"abstract":"The establishment of high quality triangular mesh is one of the key steps in 3D laser scanning data processing. Traditional triangulation algorithms have been proposed directly on the basis of adjacency relation between points in 3D space. However, when the point density is non-uniform or the noise exists, the problems such as surface hole, dough sheet overlapping and inconsistent normal appear easily. In this paper, a triangular mesh establishing algorithm based on ellipsoidal projection is proposed. After comparing the theory of ellipsoidal projection and cylindrical projection, the proposed triangular mesh establishing algorithm is analyzed in detail including basic idea and implementation method. To evaluate the performance and efficiency of the proposed algorithm, two experiments are then carried out on the 3D point cloud data of a foundation pit. The results indicate that though the computational efficiency of proposed algorithm is a little inferior to the algorithm based on cylindrical projection, the proposed algorithm is more effective for establishing point cloud of both top and bottom of the object and the original topological relation of 3D scanning points can be maintained better.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"106 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":"126842827","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}

引用次数: 0

Application of radar remote sensing in landslide geohazard risk assessment 雷达遥感在滑坡地质灾害危险性评价中的应用

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-06-12 DOI: 10.1117/12.912922

Dongjian Xue, Zhengwei He, D. Hu

{"title":"Application of radar remote sensing in landslide geohazard risk assessment","authors":"Dongjian Xue, Zhengwei He, D. Hu","doi":"10.1117/12.912922","DOIUrl":"https://doi.org/10.1117/12.912922","url":null,"abstract":"It is the difficulties to radar image interpretation, present remote sensing investigation and assessment of geohazard is mainly dependent on the high-resolution optical images, resulting in limited ability to extract surface information. The main advantage of radar is that it provides superior penetration capability under any type of weather condition, and can be used in the day or night time, rich image information and so on for the risk assessment of landslide, especially in geohazard emergency; optical image cannot match this advantage. The use of the \"5.12\" earthquake-induced landslide hazard for the research prototype, elaborate unique advantages and technical support role of remote sensing technology in landslide investigation and risk assessment, from the basic terrain data acquisition, disaster background analysis, interpretation of landslide hazard, monitoring, mapping, etc. Use of airborne and satellite radar remote sensing and Multi-source data to composite analysis of hazard information, indicates that the better interpretation effect by field investigation. The research results of this paper have great reference value to emergency disaster prevention and reduction of occurred frequent and dangerous geohazard.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"14 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":"125982588","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}

引用次数: 1

Analysis of ground calibration of ranging errors for a single aerial lidar instrument 单台航空激光雷达测距误差的地面标定分析

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-06-12 DOI: 10.1117/12.912749

Dongyang Ma, Licheng Wang

{"title":"Analysis of ground calibration of ranging errors for a single aerial lidar instrument","authors":"Dongyang Ma, Licheng Wang","doi":"10.1117/12.912749","DOIUrl":"https://doi.org/10.1117/12.912749","url":null,"abstract":"In this paper, the ranging procedure and working principle of LiDAR were introduced. By analyzing the principle, it is found that related methods can cause time delay error and ranging error for different ground targets. Then, elements affecting LiDAR ranging precision were analyzed, and experimental results proved that un-calibrated ranging error can reach one meter for the targets one hundred meters away, which cannot satisfy the requirements of practical applications. Thus, ground calibration techniques of airborne LiDAR were analyzed, and the elements affecting LiDAR ranging precision are classified into three classes. Correspondingly, an equation was proposed to express the influences of ranging errors, a ground calibration scheme was designed for single LiDAR, and a solution method to the parameters was given. Experiments were done on a China-made LiDAR system, and experimental parameters proved that gray level had some influence on ranging values, with the range difference of different gray boards reaching centimeter level. Meanwhile, LiDARs with different parameter settings can also affect ranging values. However, due to the imprecise experiment process, the additive constant and scale constant were not obvious in the experiments, and the experiment needs improving in the future.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"30 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":"132318001","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}

引用次数: 0