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Generating Digital Terrain Models From Aerial Lidar Using Convolutional Neural Networks
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Book Synopsis Generating Digital Terrain Models From Aerial LIDAR Using Convolutional Neural Networks by : Brian Pugh
Download or read book Generating Digital Terrain Models From Aerial LIDAR Using Convolutional Neural Networks written by Brian Pugh and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Presently, airborne LIDAR data measures the elevation of the highest point observed rather than the underlying bare-earth elevation. Digital Terrain Model generation from LIDAR poses an important problem in remote sensing. Many solutions rely on labeling and removing non-ground data points and interpolating the unmeasured ground from the surrounding ground points. In this paper we show that a feed-forward convolutional neural network can be successfully trained and used to directly discover the underlying terrain model from collected LIDAR data.
Book Synopsis Digital Terrain Models Generation from Airborne LiDAR Point Clouds Using A Multi-scale Terrain Filtering Method by : Hufeng Chen
Download or read book Digital Terrain Models Generation from Airborne LiDAR Point Clouds Using A Multi-scale Terrain Filtering Method written by Hufeng Chen and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Remote Sensing Based Building Extraction by : Mohammad Awrangjeb
Download or read book Remote Sensing Based Building Extraction written by Mohammad Awrangjeb and published by MDPI. This book was released on 2020-03-27 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building extraction from remote sensing data plays an important role in urban planning, disaster management, navigation, updating geographic databases, and several other geospatial applications. Even though significant research has been carried out for more than two decades, the success of automatic building extraction and modeling is still largely impeded by scene complexity, incomplete cue extraction, and sensor dependency of data. Most recently, deep neural networks (DNN) have been widely applied for high classification accuracy in various areas including land-cover and land-use classification. Therefore, intelligent and innovative algorithms are needed for the success of automatic building extraction and modeling. This Special Issue focuses on newly developed methods for classification and feature extraction from remote sensing data for automatic building extraction and 3D
Book Synopsis LiDAR Principles, Processing and Applications in Forest Ecology by : Qinghua Guo
Download or read book LiDAR Principles, Processing and Applications in Forest Ecology written by Qinghua Guo and published by Academic Press. This book was released on 2023-03-10 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: LiDAR Principles, Processing and Applications in Forest Ecology introduces the principles of LiDAR technology and explains how to collect and process LiDAR data from different platforms based on real-world experience. The book provides state-of the-art algorithms on how to extract forest parameters from LiDAR and explains how to use them in forest ecology. It gives an interdisciplinary view, from the perspective of remote sensing and forest ecology. Because LiDAR is still rapidly developing, researchers must use programming languages to understand and process LiDAR data instead of established software. In response, this book provides Python code examples and sample data. Sections give a brief history and introduce the principles of LiDAR, as well as three commonly seen LiDAR platforms. The book lays out step-by-step coverage of LiDAR data processing and forest structure parameter extraction, complete with Python examples. Given the increasing usefulness of LiDAR in forest ecology, this volume represents an important resource for researchers, students and forest managers to better understand LiDAR technology and its use in forest ecology across the world. The title contains over 15 years of research, as well as contributions from scientists across the world. - Presents LiDAR applications for forest ecology based in real-world experience - Lays out the principles of LiDAR technology in forest ecology in a systematic and clear way - Provides readers with state-of the-art algorithms on how to extract forest parameters from LiDAR - Offers Python code examples and sample data to assist researchers in understanding and processing LiDAR data - Contains over 15 years of research on LiDAR in forest ecology and contributions from scientists working in this field across the world
Book Synopsis Mapping Relict Charcoal Hearths in the Northeast US Using Deep Learning Convolutional Neural Networks and LIDAR Data by : Eli Anderson
Download or read book Mapping Relict Charcoal Hearths in the Northeast US Using Deep Learning Convolutional Neural Networks and LIDAR Data written by Eli Anderson and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced machine learning combined with widespread, publicly available, airborne light detection and ranging (LiDAR) data has great potential to automate the extraction and classification of landforms and 17th-early 20th century land use features preserved under forest canopy throughout the northeast US landscape. Previous studies have shown that stone walls, house foundations and relict charcoal hearths (RCHs) stand out clearly in derivative LiDAR digital elevation model (DEM) products such as slope and hillshade maps, but to date, mapping has been mainly carried out by on screen digitization. In this study, a deep learning convolutional neural network (CNN) algorithm was employed to extract relict charcoal hearth features from LiDAR data. With the application of CNN algorithms on LiDAR based slope maps and edge detection rasters, the network was successfully able to identify locations likely to be RCHs. The model results were further refined using object-based segmentation and image analysis methods, and compared with a dataset of manual digitized RCHs in 5 test area that cover a range of landscape types (steep terrain, rough terrain, lower gradient valleys and wetlands, developed, and forested). The CNN approach offers value in speed and ease and performed best when applied to forested hillslopes >10 degrees and areas lacking an overprint of mid to late 20th century development. Overall, the results of this study offers a unique insight into mapping past land use activity anywhere LiDAR data exists and the landscape experienced similar land use change during the 17th-20th centuries.
Book Synopsis The Application of Airborne Lidar Data in the Modelling of 3D Urban Landscape Ecology by : Ziyue Chen
Download or read book The Application of Airborne Lidar Data in the Modelling of 3D Urban Landscape Ecology written by Ziyue Chen and published by Cambridge Scholars Publishing. This book was released on 2016-12-14 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compared with traditional remote sensing technologies, airborne Lidar data can provide researchers with additional 3D positional information, which is a key factor for advanced urban research, and particularly that of urban landscape ecology. Therefore, the need for applying Lidar data to a variety of disciplines is rapidly growing. However, the lack of remote sensing background makes the wider use of Lidar data highly difficult for scholars from other disciplines. In contrast to the majority of Lidar-related books that focus on sophisticated principles and general applications of Lidar data, this book provides the reader with a feasible framework for applying airborne Lidar data to urban research. In addition to providing a general introduction to the subject, this book explains in detail a series of case studies to demonstrate how these theoretical models can be employed to address practical urban issues. As such, this book not only provides Lidar scholars with a series of specifically designed research methods, but will also serve to inspire scholars from other disciplines, such as geographers, urban planners, ecologists, and decision-makers, with a complete framework of potential application fields.
Book Synopsis Understanding and Reducing Landslide Disaster Risk by : Binod Tiwari
Download or read book Understanding and Reducing Landslide Disaster Risk written by Binod Tiwari and published by Springer Nature. This book was released on 2020-12-22 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a part of ICL new book series “ICL Contribution to Landslide Disaster Risk Reduction” founded in 2019. Peer-reviewed papers submitted to the Fifth World Landslide Forum were published in six volumes of this book series. This book contains the followings: • Five keynote lectures • Recent development in physical modeling of landslides • Recent development in numerical modeling of landslides • Recent development in soil and rock testing techniques, application and analysis methods • Recent advancements in the methods of slope stability and deformation analyses • Recent development in disaster risk assessment Prof. Binod Tiwari is a Vice President of the International Consortium on Landslides (ICL). He is the Associate Vice President for research and sponsored project and Professor of civil and environmental engineering at the California State University, Fullerton, California, USA. Prof. Kyoji Sassa is the Founding President and the Secretary-General of the International Consortium on Landslides (ICL). He has been the Editor-in-Chief of International Journal Landslides since its foundation in 2004. Prof. Peter Bobrowsky is the President of the International Consortium on Landslides. He is a Senior Scientist of Geological Survey of Canada, Ottawa, Canada. Prof. Kaoru Takara is the Executive Director of the International Consortium on Landslides. He is a Professor and Dean of Graduate School of Advanced Integrated Studies (GSAIS) in Human Survivability (Shishu-Kan), Kyoto University.
Book Synopsis Digital Terrain Modeling by : Zhilin Li
Download or read book Digital Terrain Modeling written by Zhilin Li and published by CRC Press. This book was released on 2004-11-29 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Topographic Laser Ranging and Scanning by : Jie Shan
Download or read book Topographic Laser Ranging and Scanning written by Jie Shan and published by CRC Press. This book was released on 2018-02-19 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Topographic Laser Ranging and Scanning, Second Edition, provides a comprehensive discussion of topographic LiDAR principles, systems, data acquisition, and data processing techniques. This edition presents an introduction and summary of various LiDAR systems and their principles and addresses the operational principles of the different components and ranging methods of LiDAR systems. It discusses the subsequent geometric processing of LiDAR data, with particular attention to quality, accuracy, and meeting standards and addresses the theories and practices of information extraction from LiDAR data, including terrain surface generation, forest inventory, orthoimage generation, building reconstruction, and road extraction. Written by leaders in the field, this comprehensive compilation is a must-have reference book for senior undergraduate and graduate students majoring or working in diverse disciplines, such as geomatics, geodesy, natural resources, urban planning, computer vision, and computer graphics. It is also vital resource for researchers who are interested in developing new methods and need in-depth knowledge of laser scanning and data processing and other professionals may gain the same from the broad topics addressed in this book. New in the Second Edition: A comprehensive array of new laser ranging and scanning technologies. Developments in LiDAR data format and processing techniques. Regrouping of surface modeling, representations and reconstruction. Enhanced discussions on the principles and fundamentals beyond small-footprint pulsed laser systems and new application examples. Many new examples and illustrations.
Book Synopsis Semi-automated Generation of High-accuracy Digital Terrain Models Along Roads Using Mobile Laser Scanning Data by : Lanying Wang
Download or read book Semi-automated Generation of High-accuracy Digital Terrain Models Along Roads Using Mobile Laser Scanning Data written by Lanying Wang and published by . This book was released on 2016 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transportation agencies in many countries require high-accuracy (2-20 cm) digital terrain models (DTMs) along roads for various transportation related applications. Compared to traditional ground surveys and aerial photogrammetry, mobile laser scanning (MLS) has great potential for rapid acquisition of high-density and high-accuracy three-dimensional (3D) point clouds covering roadways. Such MLS point clouds can be used to generate high-accuracy DTMs in a cost-effective fashion. However, the large-volume, mixed-density and irregular-distribution of MLS points, as well as the complexity of the roadway environment, make DTM generation a very challenging task. In addition, most available software packages were originally developed for handling airborne laser scanning (ALS) point clouds, which cannot be directly used to process MLS point clouds. Therefore, methods and software tools to automatically generate DTMs along roads are urgently needed for transportation users. This thesis presents an applicable workflow to generate DTM from MLS point clouds. The entire strategy of DTM generation was divided into two main parts: removing non-ground points and interpolating ground points into gridded DTMs. First, a voxel-based upward growing algorithm was developed to effectively and accurately remove non-ground points. Then through a comparative study on four interpolation algorithms, namely Inverse Distance Weighted (IDW), Nearest Neighbour, Linear, and Natural Neighbours interpolation algorithms, the IDW interpolation algorithm was finally used to generate gridded DTMs due to its higher accuracy and higher computational efficiency. The obtained results demonstrated that the voxel-based upward growing algorithm is suitable for areas without steep terrain features. The average overall accuracy, correctness, and completeness values of this algorithm were 0.975, 0.980, and 0.986, respectively. In some cases, the overall accuracy can exceed 0.990. The results demonstrated that the semi-automated DTM generation method developed in this thesis was able to create DTMs with a centimetre-level grid size and 10 cm vertical accuracy using the MLS point clouds.
Book Synopsis Airborne and Terrestrial Laser Scanning by : George Vosselman
Download or read book Airborne and Terrestrial Laser Scanning written by George Vosselman and published by CRC Press. This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by a team of international experts, this book provides a comprehensive overview of the major applications of airborne and terrestrial laser scanning. It focuses on principles and methods and presents an integrated treatment of airborne and terrestrial laser scanning technology. After consideration of the technology and processing methods, the book turns to applications, such as engineering, forestry, cultural heritage, extraction of 3D building models, and mobile mapping. This book brings together the various facets of the subject in a coherent text that will be relevant for advanced students, academics and practitioners.
Book Synopsis Point Density Effects on Digital Elevation Models Generated from LiDAR Data by :
Download or read book Point Density Effects on Digital Elevation Models Generated from LiDAR Data written by and published by . This book was released on 2009 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of Airborne LiDAR Systems (ALS) to obtain topographical information of the earth's surface and generate Digital Elevation Models (DEMs) has grown extensively in the field of Remote Sensing. Selected areas of point cloud LiDAR data collected from Honduras in 2008 was used to produce DEMs with varying densities to show the effects of lower resolution LiDAR data. An IDL code was utilized to reduce the selected LiDAR point cloud data to 90%, 66%, 50%, 30%, 10%, 5%, 3%, 1%, 0.5%, 0.3%, 0.1%, 0.05%, 0.03%, and 0.01% of its original density to obtain lower resolution data sets. The software Quick Terrain Modeler (QTM) and its ILAP Bare Earth Extractor Plug-in was used to generate DEMs from the varying point cloud density data sets and the software ENVI was used to perform DEM analysis. It was found that LiDAR point cloud density data set of at least 0.6 points per square meter is necessary to generate an accurate Digital Elevation Model for the test environment.
Book Synopsis Using Digital Elevation Models Derived from Airborne LiDAR and Other Remote Sensing Data to Model Channel Networks and Estimate Fluvial Geomorphological Metrics by : Noah Slovin
Download or read book Using Digital Elevation Models Derived from Airborne LiDAR and Other Remote Sensing Data to Model Channel Networks and Estimate Fluvial Geomorphological Metrics written by Noah Slovin and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in remote-sensing technologies and analysis methods, specifically airborne-LiDAR elevation data and corresponding geographical information system (GIS) tools, present new opportunities for automated and rapid fluvial geomorphic (FGM) assessments that can cover entire watersheds. In this thesis, semi-automated GIS tools are used to extract channel centerlines and bankfull width values from digital elevation models (DEM) for five New England watersheds. For each study site, four centerlines are mapped. LiDAR and NED lines are delineated using ArcGIS spatial analyst tools with high-resolution (1-m to 2-m) LiDAR DEMs or USGS National Elevation Dataset (NED) DEMs, respectively. Resampled LiDAR decreases LiDAR DEM resolution and then runs spatial analyst tools. National Hydrography Dataset (NHD) lines are mapped by the USGS. All mapped lines are compared to centerlines delineated from photography and LiDAR DEMs. Bankfull widths at each site are determined through three methods. Regional regression equations are applied using variables derived from LiDAR and NED DEMs separately, producing two sets of width results. Additionally, the Hydrogeomorphological Geoprocessing Toolset (HGM) is used to extract widths from LiDAR data. Widths are also estimated visually from aerial photos and LiDAR DEMs. Widths measured directly in the field or derived from field-data are used as a baseline for comparison. I find that with a minimal amount of preprocessing, specifically through DEM resampling, LiDAR data can be used to model a channel that is highly correlated with the shape and location of the mapped channel. NED-derived channels model the mapped channel shape with even greater accuracy, and model the channel location only minimally less accurately. No tool used in this study accurately extracted bankfull width values, but analysis of LiDAR data by the HGM toolset did capture details that could not be resolved using regression equations. Overall, I conclude that automated, computerized LiDAR interpretation needs to improve significantly for the expense of data collection to be cost-effective at a watershed scale.
Book Synopsis Urban High-Resolution Remote Sensing by : Guoqing Zhou
Download or read book Urban High-Resolution Remote Sensing written by Guoqing Zhou and published by CRC Press. This book was released on 2020-12-21 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides advances in emerging methods and algorithms in image processing and technology Uses algorithms and methodologies for handling high-resolution imagery from a ground sampling distance (GSD) less than 1.0 meter Focuses on 3D urban modelling, orthorectification methodologies, and urban feature extraction algorithms from high-resolution remotely sensed imagery Demonstrates how to apply up-to-date techniques to the problems identified and how to analyze research results Presents methods and algorithms for monitoring, analyzing, and modeling urban growth, urban planning, and socio-economic developments
Book Synopsis Environmental Applications of Digital Terrain Modeling by : John P. Wilson
Download or read book Environmental Applications of Digital Terrain Modeling written by John P. Wilson and published by John Wiley & Sons. This book was released on 2018-04-23 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: A digital elevation model (DEM) is a digital representation of ground surface topography or terrain. It is also widely known as a digital terrain model (DTM). A DEM can be represented as a raster (a grid of squares) or as a vector based triangular irregular network (TIN). DEMs are commonly built using remote sensing techniques, but they may also be built from land surveying. DEMs are used often in geographic information systems, and are the most common basis for digitally-produced relief maps. The terrain surface can be described as compromising of two different elements; random and systematic. The random (stochastic) elements are the continuous surfaces with continuously varying relief. It would take an endless number of points to describe exactly the random terrain shapes, but these can be described in practice with a network of point. It is usual to use a network that creates sloping triangles or regular quadrants. This book examines how the methods and data sources used to generate DEMs and calculate land surface parameters have changed over the past 25 years. The primary goal is to describe the state-of-the-art for a typical digital terrain modeling workflow that starts with data capture, continues with data preprocessing and DEM generation, and concludes with the calculation of one or more primary and secondary land surface parameters. Taken as a whole, this book covers the basic theory behind the methods, the instrumentation, analysis and interpretation that are embedded in the modern digital terrain modeling workflow, the strengths and weaknesses of the various methods that the terrain analyst must choose among, typical applications of the results emanating from these terrain modeling workflows, and future directions. This book is intended for researchers and practitioners who wish to use DEMs, land surface parameters, land surface objects and landforms in environmental projects. The book will also be valuable as a reference text for environmental scientists who are specialists in related fields and wish to integrate these kinds of digital terrain workflows and outputs into their own specialized work environments.
Book Synopsis AI, Sensors and Robotics in Plant Phenotyping and Precision Agriculture, Volume II by : Yongliang Qiao
Download or read book AI, Sensors and Robotics in Plant Phenotyping and Precision Agriculture, Volume II written by Yongliang Qiao and published by Frontiers Media SA. This book was released on 2023-07-03 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Generating Stream Maps Using LiDAR Derived Digital Elevation Models and 10-m USGS DEM by : Adam Mouton
Download or read book Generating Stream Maps Using LiDAR Derived Digital Elevation Models and 10-m USGS DEM written by Adam Mouton and published by . This book was released on 2005 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt:
