Automated Building Footprint Extraction From High Resolution Lidar Dem Imagery

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Automated Building Footprint Extraction from High Resolution LIDAR DEM Imagery

Author : Mandar M. Gadre
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (72 download)

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Book Synopsis Automated Building Footprint Extraction from High Resolution LIDAR DEM Imagery by : Mandar M. Gadre

Download or read book Automated Building Footprint Extraction from High Resolution LIDAR DEM Imagery written by Mandar M. Gadre and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Geographic Information Systems (GIS) are used in the fields of urban planning, environmental management, agriculture, transportation, utilities etc. because of their ability to provide geospatial information organized in multiple layers such as digital image basemap, land use zoning, political boundaries, parcel maps, land cover, road network, building footprints, utility networks (e.g. water, sewage and electricity), topography, and green space. Some urban features like roads and buildings change with the time and it is therefore necessary to update this information. The goal of this research is to provide a robust automated method to extract commercial buildings from the high resolution DEM data with high quality, accuracy, and detection rates. This processing strategy uses three different detectors which are fused to obtain a final output. Though multi-detector fusion has been used previously for satellite imagery, it is completely new for the DEM data. All three algorithms are developed using a fuzzy logic approach. The results of our algorithm show that we have obtained 82% correctness, 73% completeness and 65% quality pixel wise and 82% correctness, 97% completeness and 65% quality object wise for the tuning images and similar results for the test images. This approach can be expanded for the extraction of residential buildings which is left for future work.

Remote Sensing Based Building Extraction

Author : Mohammad Awrangjeb
Publisher : MDPI
ISBN 13 : 3039283820
Total Pages : 442 pages
Book Rating : 4.0/5 (392 download)

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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

Building Extraction from High-resolution Satellite Imagery and Lidar Data

Author :
Publisher :
ISBN 13 :
Total Pages : 628 pages
Book Rating : 4.:/5 (926 download)

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Book Synopsis Building Extraction from High-resolution Satellite Imagery and Lidar Data by :

Download or read book Building Extraction from High-resolution Satellite Imagery and Lidar Data written by and published by . This book was released on 2004 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Po'k'rik jknorse

Author : Yovhannês T'owmanean
Publisher :
ISBN 13 :
Total Pages : 27 pages
Book Rating : 4.:/5 (246 download)

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Book Synopsis Po'k'rik jknorse by : Yovhannês T'owmanean

Download or read book Po'k'rik jknorse written by Yovhannês T'owmanean and published by . This book was released on 1993 with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt:

First International Conference on Artificial Intelligence and Cognitive Computing

Author : Raju Surampudi Bapi
Publisher : Springer
ISBN 13 : 9811315809
Total Pages : 716 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis First International Conference on Artificial Intelligence and Cognitive Computing by : Raju Surampudi Bapi

Download or read book First International Conference on Artificial Intelligence and Cognitive Computing written by Raju Surampudi Bapi and published by Springer. This book was released on 2018-11-04 with total page 716 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents original research works by researchers, engineers and practitioners in the field of artificial intelligence and cognitive computing. The book is divided into two parts, the first of which focuses on artificial intelligence (AI), knowledge representation, planning, learning, scheduling, perception-reactive AI systems, evolutionary computing and other topics related to intelligent systems and computational intelligence. In turn, the second part focuses on cognitive computing, cognitive science and cognitive informatics. It also discusses applications of cognitive computing in medical informatics, structural health monitoring, computational intelligence, intelligent control systems, bio-informatics, smart manufacturing, smart grids, image/video processing, video analytics, medical image and signal processing, and knowledge engineering, as well as related applications.

Point-based and Object-based Building Extractions in Urban Area Applying Airborne LiDAR Data℗

Author : Lixian Dai
Publisher :
ISBN 13 :
Total Pages : 58 pages
Book Rating : 4.:/5 (83 download)

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Book Synopsis Point-based and Object-based Building Extractions in Urban Area Applying Airborne LiDAR Data℗ by : Lixian Dai

Download or read book Point-based and Object-based Building Extractions in Urban Area Applying Airborne LiDAR Data℗ written by Lixian Dai and published by . This book was released on 2012 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this research, we proposed a novel point-based statistical approach for automatic building segmentation and extraction by analyzing the differences between two LiDAR returns, the change of variance, and density from LiDAR point clouds. Then we applied an object-based supervised classification algorithms namely support vector machine (SVM) with several LiDAR-derived features, such as height texture (NDSM, DEM), and contrast texture from co-occurrence matrix and intensity (amplitude of LiDAR response) to extract the building areas in comparison of the result of the statistical methods. Since the terrain is highly uneven and the normalized DSM was a crucial factor in both methods, we filtered the ground points using a new filtering method, which is a combination of the slope-based algorithm (Vosselman 2003) and statistical analysis of last-return of LiDAR data in order to establish the DEM. Furthermore, the accuracy assessment was tested using a four band high-resolution (one foot) digital aerial ortho-imagery. The results show that LiDAR data could be used as a very reliable and stable data source for building extraction in urban areas.

Automatic Building Footprint Generation from Airborne LiDAR Point Cloud

Author : Xiao Li
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (126 download)

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Book Synopsis Automatic Building Footprint Generation from Airborne LiDAR Point Cloud by : Xiao Li

Download or read book Automatic Building Footprint Generation from Airborne LiDAR Point Cloud written by Xiao Li and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatically generating building footprint from remote sensing data is an active research topic because of the widespread usage of building footprint in numerous applications. The invention of airborne LiDAR technology has made it possible to measure the ground objects in a large-scale area with a dense and accurate three-dimensional (3-D) point cloud, and therefore provide a new and promising data source for extracting building footprint. However, due to the fact that the LiDAR point cloud is a set of unordered 3-D point coordinates with tremendous size, many traditional remote sensing algorithms that are designed for processing raster and image data cannot be directly applied on LiDAR point cloud. This research presents an efficient and automated workflow to generate building footprint from pre-classified LiDAR data. In this workflow, the pre-classified LiDAR points that belong to the building category are first segmented into multiple clusters through applying an efficient grid-based segmentation algorithm. Each cluster contains the points of an individual building. Then the recursive convex hull algorithm is designed and applied on each cluster to efficiently generate the initial outline for each building. The LiDAR points are irregularly distributed, which causes the generated vii initial building outline to contained irregular zig-zag shape. The initial building outline needs to be regularized in order to deliver the final building footprint with acceptable linear or curvilinear boundaries. To achieve this, a signal-based regularization algorithm that can analyze the wholistic geometric structure of building outline through a 1-D signal is introduced. The signalbased regularization uses Gaussian Smoothing and unsupervised data clustering as the main techniques to regularize the initial building outline. In order to improve it, the more advanced signal processing technique named Cauchy Norm Decomposition is also proposed for more effective regularization. Furthermore, for the purpose of generating final building footprint for the building that may have curvilinear boundary, a robust regularization algorithm that is able to reconstruct both straight-line and curvilinear boundaries is developed by denoising the cumulative signal transformed from initial building outline. The performance of grid-based segmentation and recursive hull algorithm are evaluated qualitatively using the datasets collected at both Santa Rosa, CA and Toronto Downtown. The performance of all the regularization algorithm is evaluated qualitatively and quantitatively using the same datasets.

Spatial Variability in Environmental Science

Author : John P. Tiefenbacher
Publisher : BoD – Books on Demand
ISBN 13 : 1839624590
Total Pages : 198 pages
Book Rating : 4.8/5 (396 download)

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Book Synopsis Spatial Variability in Environmental Science by : John P. Tiefenbacher

Download or read book Spatial Variability in Environmental Science written by John P. Tiefenbacher and published by BoD – Books on Demand. This book was released on 2020-10-21 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial Variability in Environmental Science - Patterns, Processes, and Analyses includes eight studies that examine the issue of spatial variability in four areas of the environmental sciences – atmospheric science, geological science, biological science, and landscape science. The topics range from monitoring of wind, the urban heat island, and atmospheric pollution, to coastal geomorphology, landscape planning and forest ecology, the problem of introduced species to regional ecologies, and a technique to improve the identification of human constructions in semi-natural landscapes. A small volume can only offer a small glimpse at the activities of scientists and insights into environmental science, but the array of papers herein offers a unique view of the current scholarship.

High Resolution Optical Satellite Imagery

Author : Ian Dowman
Publisher : Whittles
ISBN 13 : 9781849953900
Total Pages : 304 pages
Book Rating : 4.9/5 (539 download)

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Book Synopsis High Resolution Optical Satellite Imagery by : Ian Dowman

Download or read book High Resolution Optical Satellite Imagery written by Ian Dowman and published by Whittles. This book was released on 2021-06 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: A completely updated and revised second edition. This is a comprehensive guide to the characteristics and use of high resolution optical images from satellite-borne sensors. It is written by a team of international experts.

Automated Building Information Extraction and Evaluation from High-resolution Remotely Sensed Data

Author : Chuiqing Zeng
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (16 download)

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Book Synopsis Automated Building Information Extraction and Evaluation from High-resolution Remotely Sensed Data by : Chuiqing Zeng

Download or read book Automated Building Information Extraction and Evaluation from High-resolution Remotely Sensed Data written by Chuiqing Zeng and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-dimensional (2D) footprints and three-dimensional (3D) structures of buildings are of great importance to city planning, natural disaster management, and virtual environmental simulation. As traditional manual methodologies for collecting 2D and 3D building information are often both time consuming and costly, automated methods are required for efficient large area mapping. It is challenging to extract building information from remotely sensed data, considering the complex nature of urban environments and their associated intricate building structures. Most 2D evaluation methods are focused on classification accuracy, while other dimensions of extraction accuracy are ignored. To assess 2D building extraction methods, a multi-criteria evaluation system has been designed. The proposed system consists of matched rate, shape similarity, and positional accuracy. Experimentation with four methods demonstrates that the proposed multi-criteria system is more comprehensive and effective, in comparison with traditional accuracy assessment metrics. Building height is critical for building 3D structure extraction. As data sources for height estimation, digital surface models (DSMs) that are derived from stereo images using existing software typically provide low accuracy results in terms of rooftop elevations. Therefore, a new image matching method is proposed by adding building footprint maps as constraints. Validation demonstrates that the proposed matching method can estimate building rooftop elevation with one third of the error encountered when using current commercial software. With an ideal input DSM, building height can be estimated by the elevation contrast inside and outside a building footprint. However, occlusions and shadows cause indistinct building edges in the DSMs generated from stereo images. Therefore, a building-ground elevation difference model (EDM) has been designed, which describes the trend of the elevation difference between a building and its neighbours, in order to find elevation values at bare ground. Experiments using this novel approach report that estimated building height with 1.5m residual, which out-performs conventional filtering methods. Finally, 3D buildings are digitally reconstructed and evaluated. Current 3D evaluation methods did not present the difference between 2D and 3D evaluation methods well; traditionally, wall accuracy is ignored. To address these problems, this thesis designs an evaluation system with three components: volume, surface, and point. As such, the resultant multi-criteria system provides an improved evaluation method for building reconstruction.

Edenville and Sanford Dam Failures

Author : Daniel Pradel
Publisher :
ISBN 13 : 9780784415764
Total Pages : 164 pages
Book Rating : 4.4/5 (157 download)

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Book Synopsis Edenville and Sanford Dam Failures by : Daniel Pradel

Download or read book Edenville and Sanford Dam Failures written by Daniel Pradel and published by . This book was released on 2021 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: "GSP 327 presents the results of on-ground and aerial assessments of the Edenville and Sanford Dam failures of 2020"--

Urban High-Resolution Remote Sensing

Author : Guoqing Zhou
Publisher : CRC Press
ISBN 13 : 1000287696
Total Pages : 368 pages
Book Rating : 4.0/5 (2 download)

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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

High-Resolution Object-Based Building Extraction Using PCA of LiDAR NDSM and Aerial Photos

Author : Alfred Cal
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (139 download)

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Book Synopsis High-Resolution Object-Based Building Extraction Using PCA of LiDAR NDSM and Aerial Photos by : Alfred Cal

Download or read book High-Resolution Object-Based Building Extraction Using PCA of LiDAR NDSM and Aerial Photos written by Alfred Cal and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurate and precise building extraction has become an essential requirement for various applications such as for impact analysis of flooding. This chapter seeks to improve the current and past methods of building extraction by using the principal components analysis (PCA) of LiDAR height (nDSM) and aerial photos (in four RGB and NIR bands) in an object-based image classification (OBIA). This approach uses a combination of aerial photos at 0.1-m spatial resolution and LiDAR nDSM at 1-m spatial resolution for precise and high-resolution building extraction. Because aerial photos provide four bands in the PCA process, this potentially means that the resolution of the image is maintained and therefore building outlines can be extracted at a high resolution of 0.1¬†m. A total of five experiments was conducted using a combination of different LiDAR derivatives and aerial photos bands in a PCA. The PCA of LiDAR nDSM and RGB and NIR bands combination has proved to produce the best result. The results show a completeness of 87.644%, and a correctness of 93.220% of building extraction. This chapter provides an improvement on the drawbacks of building extraction such as the extraction of small buildings and the smoothing with a well-defined building outline.

Recent Advances in Image Restoration with Applications to Real World Problems

Author : Chiman Kwan
Publisher : BoD – Books on Demand
ISBN 13 : 1839683554
Total Pages : 180 pages
Book Rating : 4.8/5 (396 download)

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Book Synopsis Recent Advances in Image Restoration with Applications to Real World Problems by : Chiman Kwan

Download or read book Recent Advances in Image Restoration with Applications to Real World Problems written by Chiman Kwan and published by BoD – Books on Demand. This book was released on 2020-11-04 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past few decades, imaging hardware has improved tremendously in terms of resolution, making widespread usage of images in many diverse applications on Earth and planetary missions. However, practical issues associated with image acquisition are still affecting image quality. Some of these issues such as blurring, measurement noise, mosaicing artifacts, low spatial or spectral resolution, etc. can seriously affect the accuracy of the aforementioned applications. This book intends to provide the reader with a glimpse of the latest developments and recent advances in image restoration, which includes image super-resolution, image fusion to enhance spatial, spectral resolution, and temporal resolutions, and the generation of synthetic images using deep learning techniques. Some practical applications are also included.

Digital Elevation Model Technologies and Applications

Author : David Francis Maune
Publisher : American Society for Photogrammetry & Remote Sensing
ISBN 13 :
Total Pages : 688 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis Digital Elevation Model Technologies and Applications by : David Francis Maune

Download or read book Digital Elevation Model Technologies and Applications written by David Francis Maune and published by American Society for Photogrammetry & Remote Sensing. This book was released on 2007 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: This DE Users Manual is designed to help potential users of digital elevation data understand and articulate their requirements in a way that their expectations are satisfied. if you have a dream that DEM's can help you do a better job, or you need to know more about DEM technologies and applications then this manual is for you.

Detailed Hydrographic Feature Extraction from High-resolution LiDAR Data

Author : Danny L. Anderson
Publisher :
ISBN 13 :
Total Pages : 258 pages
Book Rating : 4.:/5 (922 download)

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Book Synopsis Detailed Hydrographic Feature Extraction from High-resolution LiDAR Data by : Danny L. Anderson

Download or read book Detailed Hydrographic Feature Extraction from High-resolution LiDAR Data written by Danny L. Anderson and published by . This book was released on 2012 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detailed hydrographic feature extraction from high-resolution light detection and ranging (LiDAR) data is investigated. Methods for quantitatively evaluating and comparing such extractions are presented, including the use of sinuosity and longitudinal root-mean- square-error (LRMSE). These metrics are then used to quantitatively compare stream networks in two studies. The first study examines the effect of raster cell size on watershed boundaries and stream networks delineated from LiDAR-derived digital elevation models (DEMs). The study confirmed that, with the greatly increased resolution of LiDAR data, smaller cell sizes generally yielded better stream network delineations, based on sinuosity and LRMSE. The second study demonstrates a new method of delineating a stream directly from LiDAR point clouds, without the intermediate step of deriving a DEM. Direct use of LiDAR point clouds could improve efficiency and accuracy of hydrographic feature extractions. The direct delineation method developed herein and termed 0́−mDn0́+, is an extension of the D8 method that has been used for several decades with gridded raster data. The method divides the region around a starting point into sectors, using the LiDAR data points within each sector to determine an average slope, and selecting the sector with the greatest downward slope to determine the direction of flow. An mDn delineation was compared with a traditional grid-based delineation, using TauDEM, and other readily available, common stream data sets. Although, the TauDEM delineation yielded a sinuosity that more closely matches the reference, the mDn delineation yielded a sinuosity that was higher than either the TauDEM method or the existing published stream delineations. Furthermore, stream delineation using the mDn method yielded the smallest LRMSE.

Elevation Data for Floodplain Mapping

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309185556
Total Pages : 166 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Elevation Data for Floodplain Mapping by : National Research Council

Download or read book Elevation Data for Floodplain Mapping written by National Research Council and published by National Academies Press. This book was released on 2007-08-16 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.