Airborne LiDAR Reflective Linear Feature Extraction for Strip Adjustment and Horizontal Accuracy Determination PDF Download
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Author: Charles K. Toth
Publisher:
ISBN:
Category : Motor vehicles
Languages : en
Pages : 124
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Book Description
ODOT's Office of Aerial Engineering (OAE) has been using an Opetch 30/70 ALTM airborne LiDAR system for about four years. The introduction of LiDAR technology was a major development towards improving the mapping operations. The overall experiences are excellent as evidenced by numerous projects where highly accurate surface data were produced in an unprecedentedly short time. As is typically with new technology, OAE has identified areas for improvements in terms of achieving better accuracy and increasing data processing efficiency. In particular, the horizontal accuracy of the LiDAR product required further attention. The objectives of this research were to (1) introduce ground control to LiDAR by using road pavement makings that can be precisely surveyed by ODOT's system; (2) preform a strip adjustment for seamless integration of strips into the final product; (3) improve the horizontal accuracy in order to better characterize the final product; and (4) improve accuracy (both horizontal and vertical) to use ground control that is less labor-intense, requires no or limited surveying and imposes less restrictions in normal field operations.
Author: Charles K. Toth
Publisher:
ISBN:
Category : Motor vehicles
Languages : en
Pages : 124
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Book Description
ODOT's Office of Aerial Engineering (OAE) has been using an Opetch 30/70 ALTM airborne LiDAR system for about four years. The introduction of LiDAR technology was a major development towards improving the mapping operations. The overall experiences are excellent as evidenced by numerous projects where highly accurate surface data were produced in an unprecedentedly short time. As is typically with new technology, OAE has identified areas for improvements in terms of achieving better accuracy and increasing data processing efficiency. In particular, the horizontal accuracy of the LiDAR product required further attention. The objectives of this research were to (1) introduce ground control to LiDAR by using road pavement makings that can be precisely surveyed by ODOT's system; (2) preform a strip adjustment for seamless integration of strips into the final product; (3) improve the horizontal accuracy in order to better characterize the final product; and (4) improve accuracy (both horizontal and vertical) to use ground control that is less labor-intense, requires no or limited surveying and imposes less restrictions in normal field operations.
Author: Yanyan Hu
Publisher:
ISBN:
Category :
Languages : en
Pages : 82
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Book Description
Light Detection and Ranging (LiDAR) has become the primary surface data extraction mapping technique. Airborne LiDAR system consists of three major components, which are laser ranging and scanning unit, Global Position System (GPS) and Inertia Measurement Unit (IMU). LiDAR data are collected in a rectangular strip-wise pattern with 10% - 30% overlapping ratio between adjacent strips. When the calibration parameters within the system components are not accurately determined, systematic errors might occur within LiDAR strips. The systematic errors lead to strip discrepancies, which further affect the quality of end-user products like Digital Elevation Map (DEM) or Digital Surface Map (DSM). In order to reduce or eliminate the discrepancies, various LiDAR strip adjustment methods have been proposed. Aerial Range Feature Descriptor (ARFD) and a corresponding ARFD-based LiDAR strip matching algorithm have been developed to solve the strip adjustment problem for two LiDAR strips. The algorithm transforms one strip onto the other in such a way that relative discrepancies between the two LiDAR strips are minimized. The transform model is equivalent to the homography matrix relating the two strips and can be determined by taking advantage of feature-based image registration technique like Scale Invariant Feature Transformation (SIFT). However, with the presence of more than two LiDAR strips, the strip matching problem becomes a strip mosaicing problem and a more sophisticated algorithm is required to mosaic multiple LiDAR strips. In this thesis, a LiDAR strips mosaicing algorithm is proposed and implemented and its performance is evaluated under various conditions. It takes advantages of the ARFD-based LiDAR strip matching algorithm and extends it to multiple strips. The novelty of the proposed algorithm is that it borrows and modifies the concept of bundle adjustment from the Photogrammetry and Computer Vision community and utilizes the systematic bias model to reduce/eliminate the global strip discrepancies.
Author: Partha Pratim Acharjee
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 103
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Book Description
Airborne light detection and ranging (LiDAR) can generate co-registered elevation and intensity map over large terrain. The co-registered 3D map and intensity information can be used efficiently for different feature extraction application. In this dissertation, we developed two algorithms for feature extraction, and usages of features for practical applications. One of the developed algorithms can map still and flowing waterbody features, and another one can extract building feature and estimate solar potential on rooftops and facades. Remote sensing capabilities, distinguishing characteristics of laser returns from water surface and specific data collection procedures provide LiDAR data an edge in this application domain. Furthermore, water surface mapping solutions must work on extremely large datasets, from a thousand square miles, to hundreds of thousands of square miles. National and state-wide map generation/upgradation and hydro-flattening of LiDAR data for many other applications are two leading needs of water surface mapping. These call for as much automation as possible. Researchers have developed many semi-automated algorithms using multiple semi-automated tools and human interventions. This reported work describes a consolidated algorithm and toolbox developed for large scale, automated water surface mapping. Geometric features such as flatness of water surface, higher elevation change in water-land interface and, optical properties such as dropouts caused by specular reflection, bimodal intensity distributions were some of the linear LiDAR features exploited for water surface mapping. Large-scale data handling capabilities are incorporated by automated and intelligent windowing, by resolving boundary issues and integrating all results to a single output. This whole algorithm is developed as an ArcGIS toolbox using Python libraries. Testing and validation are performed on a large datasets to determine the effectiveness of the toolbox and results are presented. Significant power demand is located in urban areas, where, theoretically, a large amount of building surface area is also available for solar panel installation. Therefore, property owners and power generation companies can benefit from a citywide solar potential map, which can provide available estimated annual solar energy at a given location. An efficient solar potential measurement is a prerequisite for an effective solar energy system in an urban area. In addition, the solar potential calculation from rooftops and building facades could open up a wide variety of options for solar panel installations. However, complex urban scenes make it hard to estimate the solar potential, partly because of shadows cast by the buildings. LiDAR-based 3D city models could possibly be the right technology for solar potential mapping. Although, most of the current LiDAR-based local solar potential assessment algorithms mainly address rooftop potential calculation, whereas building facades can contribute a significant amount of viable surface area for solar panel installation. In this paper, we introduce a new algorithm to calculate solar potential of both rooftop and building facades. Solar potential received by the rooftops and facades over the year are also investigated in the test area.
Author:
Publisher:
ISBN: 9783038426738
Category : Science
Languages : en
Pages : 508
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Book Description
This book collects the papers in the special issue "Airborne Laser Scanning" in Remote Sensing (Nov. 2016) and several other selected papers published in the same journal in the past few years. Our intention is to reflect recent technological developments and innovative techniques in this field. The book consists of 23 papers in six subject areas: 1) Single photon and Geiger-mode Lidar, 2) Multispectral lidar, 3) Waveform lidar, 4) Registration of point clouds, 5) Trees and terrain, and 6) Building extraction. The book is a valuable resource for scientists, engineers, developers, instructors, and graduate students interested in lidar systems and data processing.
Author: Jie Shan
Publisher: CRC Press
ISBN: 1420051431
Category : Technology & Engineering
Languages : en
Pages : 590
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Book Description
A systematic, in-depth introduction to theories and principles of Light Detection and Ranging (LiDAR) technology is long overdue, as it is the most important geospatial data acquisition technology to be introduced in recent years. An advanced discussion, this text fills the void. Professionals in fields ranging from geology, geography and geoinformatics to physics, transportation, and law enforcement will benefit from this comprehensive discussion of topographic LiDAR principles, systems, data acquisition, and data processing techniques. The book covers ranging and scanning fundamentals, and broad, contemporary analysis of airborne LiDAR systems, as well as those situated on land and in space. The authors present data collection at the signal level in terms of waveforms and their properties; at the system level with regard to calibration and georeferencing; and at the data level to discuss error budget, quality control, and data organization. They devote the bulk of the book to LiDAR data processing and information extraction and elaborate on recent developments in building extraction and reconstruction, highlighting quality and performance evaluations. There is also extensive discussion of the state-of-the-art technological developments used in: filtering algorithms for digital terrain model generation; strip adjustment of data for registration; co-registration of LiDAR data with imagery; forestry inventory; and surveying. Readers get insight into why LiDAR is the effective tool of choice to collect massive volumes of explicit 3-D data with unprecedented accuracy and simplicity. Compiled by leading experts talking about much of their own pioneering work, this book will give researchers, professionals, and senior students novel ideas to supplement their own experience and practices.
Author: Pinliang Dong
Publisher: CRC Press
ISBN: 1351233343
Category : Technology & Engineering
Languages : en
Pages : 200
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Book Description
Ideal for both undergraduate and graduate students in the fields of geography, forestry, ecology, geographic information science, remote sensing, and photogrammetric engineering, LiDAR Remote Sensing and Applications expertly joins LiDAR principles, data processing basics, applications, and hands-on practices in one comprehensive source. The LiDAR data within this book is collected from 27 areas in the United States, Brazil, Canada, Ghana, and Haiti and includes 183 figures created to introduce the concepts, methods, and applications in a clear context. It provides 11 step-by-step projects predominately based on Esri’s ArcGIS software to support seamless integration of LiDAR products and other GIS data. The first six projects are for basic LiDAR data visualization and processing and the other five cover more advanced topics: from mapping gaps in mangrove forests in Everglades National Park, Florida to generating trend surfaces for rock layers in Raplee Ridge, Utah. Features Offers a comprehensive overview of LiDAR technology with numerous applications in geography, forestry and earth science Gives necessary theoretical foundations from all pertinent subject matter areas Uses case studies and best practices to point readers to tools and resources Provides a synthesis of ongoing research in the area of LiDAR remote sensing technology Includes carefully selected illustrations and data from the authors' research projects Before every project in the book, a link is provided for users to download data
Author: Shunlin Liang
Publisher: Academic Press
ISBN: 0123859557
Category : Science
Languages : en
Pages : 821
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Book Description
Advanced Remote Sensing is an application-based reference that provides a single source of mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors such as RADAR and LIDAR. Scientists in a number of different fields including geography, geology, atmospheric science, environmental science, planetary science and ecology will have access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques are well designed and integrated, making the book's content intuitive, clearly presented, and practical in its implementation. - Comprehensive overview of various practical methods and algorithms - Detailed description of the principles and procedures of the state-of-the-art algorithms - Real-world case studies open several chapters - More than 500 full-color figures and tables - Edited by top remote sensing experts with contributions from authors across the geosciences
Author: Joseph N. Pelton
Publisher:
ISBN: 9781461464235
Category : Artificial satellites
Languages : en
Pages :
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Book Description
Author: Zhilin Li
Publisher: CRC Press
ISBN: 0203486749
Category : Technology & Engineering
Languages : en
Pages : 337
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Book Description
Written by experts, Digital Terrain Modeling: Principles and Methodology provides comprehensive coverage of recent developments in the field. The topics include terrain analysis, sampling strategy, acquisition methodology, surface modeling principles, triangulation algorithms, interpolation techniques, on-line and off-line quality control in data a
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309185556
Category : Science
Languages : en
Pages : 166
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Book Description
Floodplain maps serve as the basis for determining whether homes or buildings require flood insurance under the National Flood Insurance Program run by the Federal Emergency Management Agency (FEMA). Approximately $650 billion in insured assets are now covered under the program. FEMA is modernizing floodplain maps to better serve the program. However, concerns have been raised as to the adequacy of the base map information available to support floodplain map modernization. Elevation Data for Floodplain Mapping shows that there is sufficient two-dimensional base map imagery to meet FEMA's flood map modernization goals, but that the three-dimensional base elevation data that are needed to determine whether a building should have flood insurance are not adequate. This book makes recommendations for a new national digital elevation data collection program to redress the inadequacy. Policy makers; property insurance professionals; federal, local, and state governments; and others concerned with natural disaster prevention and preparedness will find this book of interest.
