Remote Sensing Based Building Extraction

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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

Remote Sensing based Building Extraction

Author : Mohammad Awrangjeb
Publisher :
ISBN 13 : 9783039283835
Total Pages : 442 pages
Book Rating : 4.2/5 (838 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 . This book was released on 2020 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.

Remote Sensing Based Building Extraction II.

Author : Jiaojiao Tian
Publisher :
ISBN 13 : 9783036570655
Total Pages : 0 pages
Book Rating : 4.5/5 (76 download)

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Book Synopsis Remote Sensing Based Building Extraction II. by : Jiaojiao Tian

Download or read book Remote Sensing Based Building Extraction II. written by Jiaojiao Tian and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced Technologies for Humanity

Author : Rajaa Saidi
Publisher : Springer Nature
ISBN 13 : 3030941884
Total Pages : 563 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Advanced Technologies for Humanity by : Rajaa Saidi

Download or read book Advanced Technologies for Humanity written by Rajaa Saidi and published by Springer Nature. This book was released on 2022-01-29 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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

Author : Armin Gruen
Publisher : Birkhäuser
ISBN 13 : 3034889062
Total Pages : 398 pages
Book Rating : 4.0/5 (348 download)

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Book Synopsis Automatic Extraction of Man-Made Objects from Aerial and Space Images (II) by : Armin Gruen

Download or read book Automatic Extraction of Man-Made Objects from Aerial and Space Images (II) written by Armin Gruen and published by Birkhäuser. This book was released on 2012-12-06 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

2021 6th International Conference on Image, Vision and Computing (ICIVC)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781665443692
Total Pages : pages
Book Rating : 4.4/5 (436 download)

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Book Synopsis 2021 6th International Conference on Image, Vision and Computing (ICIVC) by : IEEE Staff

Download or read book 2021 6th International Conference on Image, Vision and Computing (ICIVC) written by IEEE Staff and published by . This book was released on 2021-07-23 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ICIVC 2021 will offer us a good opportunity to exchange ideas, share the latest research achievements The latest research ideas, approaches, innovations and advances brought will boost the development in image, vision and computing areas Furthermore, it will help us to make a dominant progress in this field and push forward our research in this field to a certain degree We do hope that this conference will also create lots opportunities for related institutions partners

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

Remote Sensing Imagery

Author : Florence Tupin
Publisher : John Wiley & Sons
ISBN 13 : 1118898923
Total Pages : 368 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Remote Sensing Imagery by : Florence Tupin

Download or read book Remote Sensing Imagery written by Florence Tupin and published by John Wiley & Sons. This book was released on 2014-02-19 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dedicated to remote sensing images, from their acquisition to theiruse in various applications, this book covers the global lifecycleof images, including sensors and acquisition systems, applicationssuch as movement monitoring or data assimilation, and image anddata processing. It is organized in three main parts. The first part presentstechnological information about remote sensing (choice of satelliteorbit and sensors) and elements of physics related to sensing(optics and microwave propagation). The second part presents imageprocessing algorithms and their specificities for radar or optical,multi and hyper-spectral images. The final part is devoted toapplications: change detection and analysis of time series,elevation measurement, displacement measurement and dataassimilation. Offering a comprehensive survey of the domain of remote sensingimagery with a multi-disciplinary approach, this book is suitablefor graduate students and engineers, with backgrounds either incomputer science and applied math (signal and image processing) orgeo-physics. About the Authors Florence Tupin is Professor at Telecom ParisTech, France. Herresearch interests include remote sensing imagery, image analysisand interpretation, three-dimensional reconstruction, and syntheticaperture radar, especially for urban remote sensingapplications. Jordi Inglada works at the Centre National d’ÉtudesSpatiales (French Space Agency), Toulouse, France, in the field ofremote sensing image processing at the CESBIO laboratory. He is incharge of the development of image processing algorithms for theoperational exploitation of Earth observation images, mainly in thefield of multi-temporal image analysis for land use and coverchange. Jean-Marie Nicolas is Professor at Telecom ParisTech in the Signaland Imaging department. His research interests include the modelingand processing of synthetic aperture radar images.

Urban Remote Sensing

Author : Qihao Weng
Publisher : CRC Press
ISBN 13 : 1420008803
Total Pages : 450 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Urban Remote Sensing by : Qihao Weng

Download or read book Urban Remote Sensing written by Qihao Weng and published by CRC Press. This book was released on 2018-10-08 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Driven by advances in technology and societal needs, the next frontier in remote sensing is urban areas. With the advent of high-resolution imagery and more capable techniques, the question has become "Now that we have the technology, how do we use it?" The need for a definitive resource that explores the technology of remote sensing and the issues it can resolve in an urban setting has never been more acute. Containing contributions from world renowned experts, Urban Remote Sensing provides a review of basic concepts, methodologies, and case studies. Each chapter demonstrates how to apply up-to-date techniques to the problems identified and how to analyze research results. Organized into five sections, this book: Focuses on data, sensors, and systems considerations as well as algorithms for urban feature extraction Analyzes urban landscapes in terms of composition and structure, especially using sub-pixel analysis techniques Presents methods for monitoring, analyzing, and modeling urban growth Illustrates various approaches to urban planning and socio-economic applications of urban remote sensing Assesses the progress made to date, identifies the existing problems and challenges, and demonstrates new developments and trends in urban remote sensing This book is ideal for upper division undergraduate and graduate students, however it can also serve as a reference for researchers or those individuals interested in the remote sensing of cities in academia, and governmental and commercial sectors. Urban Remote Sensing examines how to apply remote sensing technology to urban and suburban areas.

Fundamentals of Deep Learning

Author : Nikhil Buduma
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491925566
Total Pages : 365 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Fundamentals of Deep Learning by : Nikhil Buduma

Download or read book Fundamentals of Deep Learning written by Nikhil Buduma and published by "O'Reilly Media, Inc.". This book was released on 2017-05-25 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field. Companies such as Google, Microsoft, and Facebook are actively growing in-house deep-learning teams. For the rest of us, however, deep learning is still a pretty complex and difficult subject to grasp. If you’re familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started. Examine the foundations of machine learning and neural networks Learn how to train feed-forward neural networks Use TensorFlow to implement your first neural network Manage problems that arise as you begin to make networks deeper Build neural networks that analyze complex images Perform effective dimensionality reduction using autoencoders Dive deep into sequence analysis to examine language Learn the fundamentals of reinforcement learning

Classification Methods for Remotely Sensed Data

Author : Paul Mather
Publisher : CRC Press
ISBN 13 : 9780203303566
Total Pages : 358 pages
Book Rating : 4.3/5 (35 download)

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Book Synopsis Classification Methods for Remotely Sensed Data by : Paul Mather

Download or read book Classification Methods for Remotely Sensed Data written by Paul Mather and published by CRC Press. This book was released on 2001-12-06 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote sensing is an integral part of geography, GIS and cartography, used by academics in the field and professionals in all sorts of occupations. The 1990s saw the development of a range of new methods of classifying remote sensing images and data, both optical imaging and microwave imaging. This comprehensive survey of the various techniques pul

LiDAR Remote Sensing and Applications

Author : Pinliang Dong
Publisher : CRC Press
ISBN 13 : 1351233343
Total Pages : 200 pages
Book Rating : 4.3/5 (512 download)

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Book Synopsis LiDAR Remote Sensing and Applications by : Pinliang Dong

Download or read book LiDAR Remote Sensing and Applications written by Pinliang Dong and published by CRC Press. This book was released on 2017-12-12 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

2019 IEEE 4th International Conference on Image, Vision and Computing

Author :
Publisher :
ISBN 13 : 9781728123257
Total Pages : pages
Book Rating : 4.1/5 (232 download)

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Book Synopsis 2019 IEEE 4th International Conference on Image, Vision and Computing by :

Download or read book 2019 IEEE 4th International Conference on Image, Vision and Computing written by and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

High Spatial Resolution Remote Sensing

Author : Yuhong He
Publisher : CRC Press
ISBN 13 : 0429892993
Total Pages : 417 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis High Spatial Resolution Remote Sensing by : Yuhong He

Download or read book High Spatial Resolution Remote Sensing written by Yuhong He and published by CRC Press. This book was released on 2018-06-27 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: High spatial resolution remote sensing is an area of considerable current interest and builds on developments in object-based image analysis, commercial high-resolution satellite sensors, and UAVs. It captures more details through high and very high resolution images (10 to 100 cm/pixel). This unprecedented level of detail offers the potential extraction of a range of multi-resource management information, such as precision farming, invasive and endangered vegetative species delineation, forest gap sizes and distribution, locations of highly valued habitats, or sub-canopy topographic information. Information extracted in high spatial remote sensing data right after a devastating earthquake can help assess the damage to roads and buildings and aid in emergency planning for contact and evacuation. To effectively utilize information contained in high spatial resolution imagery, High Spatial Resolution Remote Sensing: Data, Analysis, and Applications addresses some key questions: What are the challenges of using new sensors and new platforms? What are the cutting-edge methods for fine-level information extraction from high spatial resolution images? How can high spatial resolution data improve the quantification and characterization of physical-environmental or human patterns and processes? The answers are built in three separate parts: (1) data acquisition and preprocessing, (2) algorithms and techniques, and (3) case studies and applications. They discuss the opportunities and challenges of using new sensors and platforms and high spatial resolution remote sensing data and recent developments with a focus on UAVs. This work addresses the issues related to high spatial image processing and introduces cutting-edge methods, summarizes state-of-the-art high spatial resolution applications, and demonstrates how high spatial resolution remote sensing can support the extraction of detailed information needed in different systems. Using various high spatial resolution data, the third part of this book covers a range of unique applications, from grasslands to wetlands, karst areas, and cherry orchard trees.

Remote Sensing of Impervious Surfaces

Author : Qihao Weng
Publisher : CRC Press
ISBN 13 : 9781420043754
Total Pages : 488 pages
Book Rating : 4.0/5 (437 download)

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Book Synopsis Remote Sensing of Impervious Surfaces by : Qihao Weng

Download or read book Remote Sensing of Impervious Surfaces written by Qihao Weng and published by CRC Press. This book was released on 2007-10-03 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Urban Remote Sensing

Author : Xiaojun X. Yang
Publisher : John Wiley & Sons
ISBN 13 : 111962584X
Total Pages : 532 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Urban Remote Sensing by : Xiaojun X. Yang

Download or read book Urban Remote Sensing written by Xiaojun X. Yang and published by John Wiley & Sons. This book was released on 2021-10-11 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Urban Remote Sensing The second edition of Urban Remote Sensing is a state-of-the-art review of the latest progress in the subject. The text examines how evolving innovations in remote sensing allow to deliver the critical information on cities in a timely and cost-effective way to support various urban management activities and the scientific research on urban morphology, socio-environmental dynamics, and sustainability. Chapters are written by leading scholars from a variety of disciplines including remote sensing, GIS, geography, urban planning, environmental science, and sustainability science, with case studies predominately drawn from North America and Europe. A review of the essential and emerging research areas in urban remote sensing including sensors, techniques, and applications, especially some critical issues that are shifting the directions in urban remote sensing research. Illustrated in full color throughout, including numerous relevant case studies and extensive discussions of important concepts and cutting-edge technologies to enable clearer understanding for non-technical audiences. Urban Remote Sensing, Second Edition will be of particular interest to upper-division undergraduate and graduate students, researchers and professionals working in the fields of remote sensing, geospatial information, and urban & environmental planning.

Deep Learning and Parallel Computing Environment for Bioengineering Systems

Author : Arun Kumar Sangaiah
Publisher : Academic Press
ISBN 13 : 0128172932
Total Pages : 280 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Deep Learning and Parallel Computing Environment for Bioengineering Systems by : Arun Kumar Sangaiah

Download or read book Deep Learning and Parallel Computing Environment for Bioengineering Systems written by Arun Kumar Sangaiah and published by Academic Press. This book was released on 2019-07-26 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations’ needs as well as practitioners’ innovative ideas. Presents novel, in-depth research contributions from a methodological/application perspective in understanding the fusion of deep machine learning paradigms and their capabilities in solving a diverse range of problems Illustrates the state-of-the-art and recent developments in the new theories and applications of deep learning approaches applied to parallel computing environment in bioengineering systems Provides concepts and technologies that are successfully used in the implementation of today's intelligent data-centric critical systems and multi-media Cloud-Big data