Remote Sensing Based Building Extraction

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Remote Sensing Based Building Extraction

Author : Mohammad Awrangjeb,Xiangyun Hu,Bisheng Yang,Jiaojiao Tian
Publisher : MDPI
Page : 442 pages
File Size : 52,7 Mb
Release : 2020-03-27
Category : Science
ISBN : 9783039283828

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Remote Sensing Based Building Extraction by Mohammad Awrangjeb,Xiangyun Hu,Bisheng Yang,Jiaojiao Tian Pdf

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

Remote Sensing based Building Extraction

Author : Mohammad Awrangjeb,Xiangyun Hu,Bisheng Yang,Jiaojiao Tian
Publisher : Unknown
Page : 442 pages
File Size : 44,7 Mb
Release : 2020
Category : Building construction
ISBN : 3039283839

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Remote Sensing based Building Extraction by Mohammad Awrangjeb,Xiangyun Hu,Bisheng Yang,Jiaojiao Tian Pdf

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.

Remote Sensing Based Building Extraction II

Author : Jiaojiao Tian,Qin Yan,Mohammad Awrangjeb
Publisher : Mdpi AG
Page : 0 pages
File Size : 54,7 Mb
Release : 2023-04-27
Category : Science
ISBN : 3036570640

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Remote Sensing Based Building Extraction II by Jiaojiao Tian,Qin Yan,Mohammad Awrangjeb Pdf

Building extraction from remote sensing data plays an important role in geospatial applications such as urban planning, disaster management, navigation, and updating geographic databases. The rapid development of image processing techniques and the accessibility of very-high-resolution multispectral, hyperspectral, LiDAR, and SAR remote sensing images have further boosted research on building-extraction-related topics. In particular, to meet the recent demand for advanced artificial intelligence models, many research institutes and associations have provided open source datasets and annotated training data, presenting new opportunities to develop advanced approaches for building extraction and monitoring. Hence, there are higher expectations of the efficiency, accuracy, and robustness of building extraction approaches. Additionally, they should meet the demand for processing large city-, national-, and global-scale datasets. Moreover, learning and dealing with imperfect training data remains a challenge, as does unexpected objects in urban scenes such as trees, clouds, and shadows. In addition to building masks, more research has arisen on the automatic generation of LoD2/3 building models from remote sensing data. This follow-up Special Issue of "Remote Sensing-based Building Extraction", has collected more research on cutting-edge approaches to essential urban processes such as 3D reconstruction, automatic building segmentation, and 3D roof modelling.

Automatic Extraction of Man-Made Objects from Aerial and Space Images (II)

Author : Armin Gruen,E.P. Baltsavias,O. Henricsson
Publisher : Birkhäuser
Page : 398 pages
File Size : 50,9 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9783034889063

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Automatic Extraction of Man-Made Objects from Aerial and Space Images (II) by Armin Gruen,E.P. Baltsavias,O. Henricsson Pdf

Advancements in digital sensor technology, digital image analysis techniques, as well as computer software and hardware have brought together the fields of computer vision and photogrammetry, which are now converging towards sharing, to a great extent, objectives and algorithms. The potential for mutual benefits by the close collaboration and interaction of these two disciplines is great, as photogrammetric know-how can be aided by the most recent image analysis developments in computer vision, while modern quantitative photogrammetric approaches can support computer vision activities. Devising methodologies for automating the extraction of man-made objects (e.g. buildings, roads) from digital aerial or satellite imagery is an application where this cooperation and mutual support is already reaping benefits. The valuable spatial information collected using these interdisciplinary techniques is of improved qualitative and quantitative accuracy. This book offers a comprehensive selection of high-quality and in-depth contributions from world-wide leading research institutions, treating theoretical as well as implementational issues, and representing the state-of-the-art on this subject among the photogrammetric and computer vision communities.

Urban High-Resolution Remote Sensing

Author : Guoqing Zhou
Publisher : CRC Press
Page : 368 pages
File Size : 43,9 Mb
Release : 2020-12-21
Category : Technology & Engineering
ISBN : 9781000287691

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Urban High-Resolution Remote Sensing by Guoqing Zhou Pdf

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

Advanced Technologies for Humanity

Author : Rajaa Saidi,Brahim El Bhiri,Yassine Maleh,Ayman Mosallam,Mohammed Essaaidi
Publisher : Springer Nature
Page : 563 pages
File Size : 46,5 Mb
Release : 2022-01-29
Category : Technology & Engineering
ISBN : 9783030941888

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Advanced Technologies for Humanity by Rajaa Saidi,Brahim El Bhiri,Yassine Maleh,Ayman Mosallam,Mohammed Essaaidi Pdf

This book gathers the proceedings of the International Conference on Advanced Technologies for Humanity (ICATH’2021), held on November 26-27, 2021, in INSEA, Rabat, Morocco. ICATH’2021 was jointly co-organized by the National Institute of Statistics and Applied Economics (INSEA) in collaboration with the Moroccan School of Engineering Sciences (EMSI), the Hassan II Institute of Agronomy and Veterinary Medicine (IAV-Hassan II), the National Institute of Posts and Telecommunications (INPT), the National School of Mineral Industry (ENSMR), the Faculty of Sciences of Rabat (UM5-FSR), the National School of Applied Sciences of Kenitra (ENSAK) and the Future University in Egypt (FUE). ICATH’2021 was devoted to practical models and industrial applications related to advanced technologies for Humanity. It was considered as a meeting point for researchers and practitioners to enable the implementation of advanced information technologies into various industries. This book is helpful for PhD students as well as researchers. The 48 full papers were carefully reviewed and selected from 105 submissions. The papers presented in the volume are organized in topical sections on synergies between (i) smart and sustainable cities, (ii) communication systems, signal and image processing for humanity, (iii) cybersecurity, database and language processing for human applications, (iV) renewable and sustainable energies, (V) civil engineering and structures for sustainable constructions, (Vi) materials and smart buildings and (Vii) Industry 4.0 for smart factories. All contributions were subject to a double-blind review. The review process was highly competitive. We had to review 105 submissions from 12 countries. A team of over 100 program committee members and reviewers did this terrific job. Our special thanks go to all of them.

Remote Sensing

Author : Floyd F. Sabins, Jr.,James M. Ellis
Publisher : Waveland Press
Page : 524 pages
File Size : 42,8 Mb
Release : 2020-04-01
Category : Technology & Engineering
ISBN : 9781478645061

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Remote Sensing by Floyd F. Sabins, Jr.,James M. Ellis Pdf

Remote sensing has undergone profound changes over the past two decades as GPS, GIS, and sensor advances have significantly expanded the user community and availability of images. New tools, such as automation, cloud-based services, drones, and artificial intelligence, continue to expand and enhance the discipline. Along with comprehensive coverage and clarity, Sabins and Ellis establish a solid foundation for the insightful use of remote sensing with an emphasis on principles and a focus on sensor technology and image acquisition. The Fourth Edition presents a valuable discussion of the growing and permeating use of technologies such as drones and manned aircraft imaging, DEMs, and lidar. The authors explain the scientific and societal impacts of remote sensing, review digital image processing and GIS, provide case histories from areas around the globe, and describe practical applications of remote sensing to the environment, renewable and nonrenewable resources, land use/land cover, natural hazards, and climate change. • Remote Sensing Digital Database includes 27 examples of satellite and airborne imagery that can be used to jumpstart labs and class projects. The database includes descriptions, georeferenced images, DEMs, maps, and metadata. Users can display, process, and interpret images with open-source and commercial image processing and GIS software. • Flexible, revealing, and instructive, the Digital Image Processing Lab Manual provides 12 step-by-step exercises on the following topics: an introduction to ENVI, Landsat multispectral processing, image processing, band ratios and principal components, georeferencing, DEMs and lidar, IHS and image sharpening, unsupervised classification, supervised classification, hyperspectral, and change detection and radar. • Introductory and instructional videos describe and guide users on ways to access and utilize the Remote Sensing Digital Database and the Digital Image Processing Lab Manual. • Answer Keys are available for instructors for questions in the text as well as the Digital Image Processing Lab Manual.

Automatic Extraction of Man-made Objects from Aerial and Satellite Images III

Author : E.P. Baltsavias,A. Gruen,L. VanGool
Publisher : CRC Press
Page : 436 pages
File Size : 43,9 Mb
Release : 2001-01-01
Category : Computers
ISBN : 9058092526

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Automatic Extraction of Man-made Objects from Aerial and Satellite Images III by E.P. Baltsavias,A. Gruen,L. VanGool Pdf

This work is a collection of papers from the world's leading research groups in the field of automatic extraction of objects, especially buildings and roads, from aerial and space imagery, including new sensors like SAR and lidar.

Spatial Variability in Environmental Science

Author : John P. Tiefenbacher,Davod Poreh
Publisher : BoD – Books on Demand
Page : 198 pages
File Size : 45,5 Mb
Release : 2020-10-21
Category : Science
ISBN : 9781839624599

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Spatial Variability in Environmental Science by John P. Tiefenbacher,Davod Poreh Pdf

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.

Topographic Laser Ranging and Scanning

Author : Jie Shan,Charles K. Toth
Publisher : CRC Press
Page : 638 pages
File Size : 50,7 Mb
Release : 2018-02-19
Category : Technology & Engineering
ISBN : 9781498772280

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Topographic Laser Ranging and Scanning by Jie Shan,Charles K. Toth Pdf

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.

International Journal of Advanced Remote Sensing and GIS

Author : Cloud Publications
Publisher : Cloud Publications
Page : 3465 pages
File Size : 50,9 Mb
Release : 2012-01-01
Category : Science
ISBN : 8210379456XXX

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International Journal of Advanced Remote Sensing and GIS by Cloud Publications Pdf

International Journal of Advanced Remote Sensing and GIS (IJARSG, ISSN 2320 – 0243) is an open-access peer-reviewed scholarly journal publishes original research papers, reviews, case study, case reports, and methodology articles in all aspects of Remote Sensing and GIS including associated fields. This Journal commits to working for quality and transparency in its publishing by following standard Publication Ethics and Policies.

Advances in Remote Sensing for Infrastructure Monitoring

Author : Vernon Singhroy
Publisher : Springer Nature
Page : 366 pages
File Size : 49,9 Mb
Release : 2020-12-23
Category : Technology & Engineering
ISBN : 9783030591090

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Advances in Remote Sensing for Infrastructure Monitoring by Vernon Singhroy Pdf

This volume provides international case studies of practical and advanced methods using satellite images integrated with other airborne, drone images and field data to monitor infrastructure. The book is timely, as infrastructure spending by national governments is increasing and robust monitoring techniques are needed to keep pace with climate change impacts affecting infrastructures globally. The expert international contributions that comprise the book provide examples of advanced methods using InSAR, high-resolution optical and radar images, LIDAR, UAV, geophysical techniques and their applications to civil infrastructure. The case studies focus on high-resolution, rapid time-series radar interferometry to monitor highways, railways, pipelines, bridges, urban, and water conveyance infrastructures. Other case studies use optical and radar images to characterize urban infrastructure and monitor damages from floods, oil spills and conflicts. The case studies are global focusing on infrastructure projects in Canada, Dominica Guyana, India Italy, Syria Taiwan, United States and the United Kingdom. This compilation of selected case studies will provide useful guidelines for the civil infrastructure characterization and monitoring communities. The book will be of interest to infrastructure consultants and professionals, scientific communities in earth observation and advanced imaging methods, and researchers and professors in earth sciences, climate change, and civil and geoengineering.

Advanced Technologies of UAV Application in Crop Pest, Disease and Weed Control

Author : Ruirui Zhang,J. Connor Ferguson,Huizhu Yuan,Andrew Hewitt
Publisher : Frontiers Media SA
Page : 178 pages
File Size : 51,7 Mb
Release : 2023-11-29
Category : Science
ISBN : 9782832511794

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Advanced Technologies of UAV Application in Crop Pest, Disease and Weed Control by Ruirui Zhang,J. Connor Ferguson,Huizhu Yuan,Andrew Hewitt Pdf

Remote Sensing of Impervious Surfaces

Author : Qihao Weng
Publisher : CRC Press
Page : 488 pages
File Size : 54,7 Mb
Release : 2007-10-03
Category : Technology & Engineering
ISBN : 1420043757

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Remote Sensing of Impervious Surfaces by Qihao Weng Pdf

Remote sensing of impervious surfaces has matured using advances in geospatial technology so recent that its applications have received only sporadic coverage in remote sensing literature. Remote Sensing of Impervious Surfaces is the first to focus entirely on this developing field. It provides detailed coverage of mapping, data extraction, and modeling techniques specific to analyzing impervious surfaces, such as roads and buildings. Written by renowned experts in the field, this book reviews the major approaches that apply to this emerging field as well as current challenges, developments, and trends. The authors introduce remote sensing digital image processing techniques for estimating and mapping impervious surfaces in urban and rural areas. Presenting the latest modeling tools and algorithms for data extraction and analysis, the book explains how to differentiate roads, roofs, and other manmade structures from remotely sensed images for individual analysis. The final chapters examine how to use impervious surface data for predicting the flow of storm- or floodwater and studying trends in population, land use, resource distribution, and other real-world applications in environmental, urban, and regional planning. Each chapter offers a consistent format including a concise review of basic concepts and methodologies, timely case studies, and guidance for solving problems and analyzing data using the techniques presented.