{"title":"Integrated application of lidar and photogrammetry in geological logging","authors":"Biao Yang, Hao Li, Guangcheng Tong, Rongchun Zhang, Haili Huang","doi":"10.1117/12.912826","DOIUrl":"https://doi.org/10.1117/12.912826","url":null,"abstract":"Geological Logging plays a vital part in hydropower and traffic engineering construction. In view of the current problems existing in engineering geological logging, this paper proposes a new engineering geological logging approach, which integrates LiDAR techniques with digital close-range photogrammetry. In this approach, firstly, acquire digital images and point cloud of engineering excavation surface by high-resolution digital camera and three-dimensional laser scanner respectively. Secondly, project point data onto a raster image, after which, mark points will be extracted from point cloud raster image and digital images with the help of image processing technology. Lastly, calculate the exterior orientation elements of digital images by the close-range photogrammetric space resection algorithm, and then register point cloud with digital images by collinearity equation. As a result, two computer-aided logging methods are also presented: one is two-dimensional image logging method based on the single image projection transfer algorithm, the other is logging in three-dimensional virtual environment after three-dimensional reconstruction of engineering excavation surface. The practical applications have demonstrated that the approach proposed in this paper has a great improvement in efficiency and precision of geological logging.","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":"133327261","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":"Neural network modeling of tidal flat terrain based on lidar survey data","authors":"Qing Li, Xianrong Ding, A. Zhu, Ligang Cheng, Yanyan Kang, Tingting Zhang","doi":"10.1117/12.913031","DOIUrl":"https://doi.org/10.1117/12.913031","url":null,"abstract":"The southern yellow sea radial submarine sand ridges are in the central Jiangsu coast, where sediment dynamics is complex and the tidal ridges and channels are changing. The purpose of this paper is to model tidal flat terrain. Based on the regularity and variability characteristics of the tidal flats combined with remote sensing and LiDAR survey data, this research focuses on tidal flat terrain modeling with a neural network method. Firstly, the network structure and the parameters involved, such as weights and offset values of neurons, are determined by the BP Neural Network calculation using the 2006 LiDAR DEM in this area. Secondly, the characteristic lines, which are boundary lines of tidal basins, skeleton lines of tidal creeks and a series of waterlines, and so on are extracted from TM images of the no-data region similar to the area of study. Combining with survey data, the elevation data of characteristic lines are obtained. At last, the terrain of the region without elevation data is generated by the model. The test shows the terrain calculated by the model is very close to the surveyed terrain. The residual distribution is normal. The study is significant in getting a dynamic tidal flat terrain fast and efficiently.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"117 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":"122572778","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 fast 3D construction of heritage based on rotating structured light","authors":"Kun Zhang, Qingwu Hu","doi":"10.1117/12.912796","DOIUrl":"https://doi.org/10.1117/12.912796","url":null,"abstract":"One three-dimensional (3D) heritage reconstruction method based on structured light extraction and interpolation is proposed. Firstly, an image smoothing algorithm is presented to remove noise. And then a threshold method is designed to extract the laser line with a certain width. The center coordinates of the intersection line of gray-scale laser plane and the surface of artifacts can be obtained. Secondly, a calibration ruler is used to establish a mapping relation between the laser plane and the image plane. With the index table of mapping relationship, the corresponding relationship between laser plane and the 3D space can be represented by the rotating matrix. Finally, the mapping relation between images coordinates and 3D spatial coordinates can be used to obtain the 3D model of heritage relics. Experiment results show that the presented method is fast and accurate which can meet the requirement of heritage 3D construction.","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":"123462548","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":"An extraction method for interested buildings using lidar point clouds data","authors":"Mei Zhou, L. Tang, Chuan-rong Li, B. Xia","doi":"10.1117/12.912531","DOIUrl":"https://doi.org/10.1117/12.912531","url":null,"abstract":"LiDAR (Light Detection and Ranging) is an active remote sensing technique for acquiring spatial information. It can quickly acquire three-dimensional (3D) geographic coordinate information of ground surface and ground targets, and has typical advantage in such applications as urban planning, 3D modeling, disaster assessment, etc. This paper presents an extraction method for interested buildings using three-dimensional laser point cloud data which are filtered and organized by the kd tree. First, the algorithm determines candidate points of a building from non-ground points and clusters them on the constraints of distance so that single building target can be segmented. Second, for each segmented building target, the algorithm extracts its edge points and regularizes its edge. The extracted building feature information is provided for quickly searching target of interest. At last, the method is proved to be effective based on the analysis of measured data. The method is no point cloud interpolation error, and is not affected by the size or shape of a building.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"22 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":"132990082","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 vector map extraction approach in a direct 3D visualization environment with lidar data","authors":"Qingwu Hu, Kaili Wang, Jianming Liu, Fei Yu","doi":"10.1117/12.912738","DOIUrl":"https://doi.org/10.1117/12.912738","url":null,"abstract":"In this paper, a direct 3D visualization environment with DEM, DSM and DOM from LiDAR point cloud data is presented to replace the stereo observation of photogrammetry image pairs for vector map extraction. A unified DEM, DSM and DOM data model is designed to manage huge data volume and then to construct the 3D visualization environment. With the 3D visualization of LiDAR data, the landscape can be recovered, and thus the vector map can be directly digitized. Also the contour lines can be overlaid in the 3D visualization environment for the further quality check and control. The presented vector map extraction approach can reduce the professional equipment and software investment.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"17 14","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133847252","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":"An overview of the airborne bathymetric lidar reflectance data processing","authors":"Xin Liu, H. M. Tulldahl, A. Axelsson","doi":"10.1117/12.912742","DOIUrl":"https://doi.org/10.1117/12.912742","url":null,"abstract":"In addition to the well-developed bathymetric LiDAR (Light Detecting and Ranging) remote sensing technique, Airborne Hydrography AB (AHAB) has presented a new bathymetric LiDAR reflectance processing technique which provides new applications of producing seafloor reflectance image, seafloor identification and classification. In the past decade, HawkEye II bathymetric LiDAR systems produced by AHAB collected and processed over 100,000 square kilometer LiDAR reflectance data in more than ten countries in Europe, America, Oceania, Indian Ocean and Asia. In this paper, we introduce the background of bathymetry LiDAR, the algorithm and methods used in the bathymetric LiDAR reflectance processing, the reflectance image and seafloor classification applications.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"104 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":"124635671","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":"Active-passive microwave remote sensing data combination for retrieval of soil moisture","authors":"Min-lu Zhou, Z. Guan","doi":"10.1117/12.912598","DOIUrl":"https://doi.org/10.1117/12.912598","url":null,"abstract":"Microwave remote sensing has become an important way of soil moisture retrieval because of its better penetration into vegetation and soil layers, and its higher sensitivity to the content of soil moisture. Retrieval by active or passive method has a series of mature algorithms, and the combined active-passive methods are the recent research highlights. But the existing combined algorithms are not mature enough, with their weaker applicability and lower accuracy. This study aims to solve the problem of low accuracy, and proposes a new algorithm: based on the imitation of water-cloud model and IEM model, with a BP neural network, obtaining its own sensitive surface parameters from active and passive microwave remote sensing data, and developing a new combined active-passive retrieval model for soil moisture. Finally with testing and verifying in SMEX02 experiments, the model presented the results of higher accuracy.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"1 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":"127445270","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}
Caihong Meng, Yongchun Yang, Yanjun Liu, Haojie Hu
{"title":"A GIS-based urban landscape change analysis of Lanzhou City, China","authors":"Caihong Meng, Yongchun Yang, Yanjun Liu, Haojie Hu","doi":"10.1117/12.912797","DOIUrl":"https://doi.org/10.1117/12.912797","url":null,"abstract":"Well located at the geometric center of China, Lanzhou is one of the typical valley-basin cities in the western China. In this study, we aim to resolve two questions: (1) from the spatial analysis, we want to know what changes have happened on urban landscape characteristics from 1976 to 2004? (2) What is the main driving force behind the changes? This research is based on American quick bird remote sensing image of 2004 with a high resolution of 0.61m and the topographical map of Lanzhou city. In addition, the detailed land use data and some cadastral data in 1976 are collected as well as the current land use data. Based on the calculated result, we analyse the change characteristics of the classlevel metrics and landscape-level metrics of the Lanzhou city. Our results show that the change trend in landscape associated with urbanization of Lanzhou city can be effectively captured by spatial analysis using the remote sensing image and GIS data processing technique, and by calculating several landscape pattern metrics, such as patch density, edge density, Shannon diversity index, contagion, etc.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"1 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":"127503098","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":"Polarimetric, two-color, photon-counting laser altimeter measurements of forest canopy structure","authors":"D. Harding, P. Dabney, S. Valett","doi":"10.1117/12.913960","DOIUrl":"https://doi.org/10.1117/12.913960","url":null,"abstract":"Laser altimeter measurements of forest stands with distinct structures and compositions have been acquired at 532 nm (green) and 1064 nm (near-infrared) wavelengths and parallel and perpendicular polarization states using the Slope Imaging Multi-polarization Photon Counting Lidar (SIMPL). The micropulse, single photon ranging measurement approach employed by SIMPL provides canopy structure measurements with high vertical and spatial resolution. Using a height distribution analysis method adapted from conventional, 1064 nm, full-waveform lidar remote sensing, the sensitivity of two parameters commonly used for above-ground biomass estimation are compared as a function of wavelength. The results for the height of median energy (HOME) and canopy cover are for the most part very similar, indicating biomass estimations using lidars operating at green and near-infrared wavelengths will yield comparable estimates. The expected detection of increasing depolarization with depth into the canopies due to volume multiplescattering was not observed, possibly due to the small laser footprint and the small detector field of view used in the SIMPL instrument. The results of this work provide pathfinder information for NASA's ICESat-2 mission that will employ a 532 nm, micropulse, photon counting laser altimeter.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123264449","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":"Front Matter: Volume 8286","authors":"Proceedings of Spie","doi":"10.1117/12.915559","DOIUrl":"https://doi.org/10.1117/12.915559","url":null,"abstract":"This PDF file contains the front matter associated with SPIE Proceedings Volume 8286, including the Title Page, Copyright information, Table of Contents, and the Conference Committee listing.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116003991","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}