Using Remote Sensing And Gis Technology For Automated Building Extraction

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Using Remote-sensing and Gis Technology for Automated Building Extraction

Author : Liora Sahar
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (74 download)

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Book Synopsis Using Remote-sensing and Gis Technology for Automated Building Extraction by : Liora Sahar

Download or read book Using Remote-sensing and Gis Technology for Automated Building Extraction written by Liora Sahar and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Extraction of buildings from remote sensing sources is an important GIS application and has been the subject of extensive research over the last three decades. An accurate building inventory is required for applications such as GIS database maintenance and revision; impervious surfaces mapping; storm water management; hazard mitigation and risk assessment. Despite all the progress within the fields of photogrammetry and image processing, the problem of automated feature extraction is still unresolved. : A methodology for automatic building extraction that integrates remote sensing sources and GIS data was proposed. The methodology consists of a series of image processing and spatial analysis techniques. It incorporates initial simplification procedure and multiple feature analysis components. The extraction process was implemented and tested on three distinct types of buildings including commercial, residential and high-rise. Aerial imagery and GIS data from Shelby County, Tennessee were identified for the testing and validation of the results. The contribution of each component to the overall methodology was quantitatively evaluated as relates to each type of building. The automatic process was compared to manual building extraction and provided means to alleviate the manual procedure effort.

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.

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.

Remote Sensing Based Building Extraction II

Author : Jiaojiao Tian
Publisher : Mdpi AG
ISBN 13 : 9783036570648
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 Mdpi AG. This book was released on 2023-04-27 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.

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.

Building Feature Extraction with Machine Learning

Author : Bharath.H. Aithal
Publisher : CRC Press
ISBN 13 : 1000817202
Total Pages : 109 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Building Feature Extraction with Machine Learning by : Bharath.H. Aithal

Download or read book Building Feature Extraction with Machine Learning written by Bharath.H. Aithal and published by CRC Press. This book was released on 2022-12-29 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big geospatial datasets created by large infrastructure projects require massive computing resources to process. Feature extraction is a process used to reduce the initial set of raw data for manageable image processing, and machine learning (ML) is the science that supports it. This book focuses on feature extraction methods for optical geospatial data using ML. It is a practical guide for professionals and graduate students who are starting a career in information extraction. It explains spatial feature extraction in an easy-to-understand way and includes real case studies on how to collect height values for spatial features, how to develop 3D models in a map context, and others. Features Provides the basics of feature extraction methods and applications along with the fundamentals of machine learning Discusses in detail the application of machine learning techniques in geospatial building feature extraction Explains the methods for estimating object height from optical satellite remote sensing images using Python Includes case studies that demonstrate the use of machine learning models for building footprint extraction and photogrammetric methods for height assessment Highlights the potential of machine learning and geospatial technology for future project developments This book will be of interest to professionals, researchers, and graduate students in geoscience and earth observation, machine learning and data science, civil engineers, and urban planners.

Object-Based Image Analysis

Author : Thomas Blaschke
Publisher : Springer Science & Business Media
ISBN 13 : 3540770585
Total Pages : 804 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Object-Based Image Analysis by : Thomas Blaschke

Download or read book Object-Based Image Analysis written by Thomas Blaschke and published by Springer Science & Business Media. This book was released on 2008-08-09 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together a collection of invited interdisciplinary persp- tives on the recent topic of Object-based Image Analysis (OBIA). Its c- st tent is based on select papers from the 1 OBIA International Conference held in Salzburg in July 2006, and is enriched by several invited chapters. All submissions have passed through a blind peer-review process resulting in what we believe is a timely volume of the highest scientific, theoretical and technical standards. The concept of OBIA first gained widespread interest within the GIScience (Geographic Information Science) community circa 2000, with the advent of the first commercial software for what was then termed ‘obje- oriented image analysis’. However, it is widely agreed that OBIA builds on older segmentation, edge-detection and classification concepts that have been used in remote sensing image analysis for several decades. Nevert- less, its emergence has provided a new critical bridge to spatial concepts applied in multiscale landscape analysis, Geographic Information Systems (GIS) and the synergy between image-objects and their radiometric char- teristics and analyses in Earth Observation data (EO).

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.

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

Author : E.P. Baltsavias
Publisher : CRC Press
ISBN 13 : 9789058092526
Total Pages : 436 pages
Book Rating : 4.0/5 (925 download)

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Book Synopsis Automatic Extraction of Man-made Objects from Aerial and Satellite Images III by : E.P. Baltsavias

Download or read book Automatic Extraction of Man-made Objects from Aerial and Satellite Images III written by E.P. Baltsavias and published by CRC Press. This book was released on 2001-01-01 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Imagery and GIS

Author : Kass Green
Publisher : ESRI Press
ISBN 13 : 9781589484542
Total Pages : 0 pages
Book Rating : 4.4/5 (845 download)

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Book Synopsis Imagery and GIS by : Kass Green

Download or read book Imagery and GIS written by Kass Green and published by ESRI Press. This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imagery and GIS: Best Practices for Extracting Information from Imagery shows how imagery can be integrated successfully into GIS maps and analysis.

Applications of Artificial Intelligence for Smart Technology

Author : Swarnalatha, P.
Publisher : IGI Global
ISBN 13 : 1799833372
Total Pages : 330 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Applications of Artificial Intelligence for Smart Technology by : Swarnalatha, P.

Download or read book Applications of Artificial Intelligence for Smart Technology written by Swarnalatha, P. and published by IGI Global. This book was released on 2020-10-30 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: As global communities are attempting to transform into more efficient and technologically-advanced metropolises, artificial intelligence (AI) has taken a firm grasp on various professional fields. Technology used in these industries is transforming by introducing intelligent techniques including machine learning, cognitive computing, and computer vision. This has raised significant attention among researchers and practitioners on the specific impact that these smart technologies have and what challenges remain. Applications of Artificial Intelligence for Smart Technology is a pivotal reference source that provides vital research on the implementation of advanced technological techniques in professional industries through the use of AI. While highlighting topics such as pattern recognition, computational imaging, and machine learning, this publication explores challenges that various fields currently face when applying these technologies and examines the future uses of AI. This book is ideally designed for researchers, developers, managers, academicians, analysts, students, and practitioners seeking current research on the involvement of AI in professional practices.

International Journal of Advanced Remote Sensing and GIS

Author : Cloud Publications
Publisher : Cloud Publications
ISBN 13 :
Total Pages : 3465 pages
Book Rating : 4./5 ( download)

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Book Synopsis International Journal of Advanced Remote Sensing and GIS by : Cloud Publications

Download or read book International Journal of Advanced Remote Sensing and GIS written by Cloud Publications and published by Cloud Publications. This book was released on 2012-01-01 with total page 3465 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Genetic and Evolutionary Computing

Author : Thi Thi Zin
Publisher : Springer
ISBN 13 : 331923207X
Total Pages : 462 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Genetic and Evolutionary Computing by : Thi Thi Zin

Download or read book Genetic and Evolutionary Computing written by Thi Thi Zin and published by Springer. This book was released on 2015-09-03 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of Advances in Intelligent Systems and Computing contains accepted papers presented at ICGEC 2015, the 9th International Conference on Genetic and Evolutionary Computing. The conference this year was technically co-sponsored by Ministry of Science and Technology, Myanmar, University of Computer Studies, Yangon, University of Miyazaki in Japan, Kaohsiung University of Applied Science in Taiwan, Fujian University of Technology in China and VSB-Technical University of Ostrava. ICGEC 2015 is held from 26-28, August, 2015 in Yangon, Myanmar. Yangon, the most multiethnic and cosmopolitan city in Myanmar, is the main gateway to the country. Despite being the commercial capital of Myanmar, Yangon is a city engulfed by its rich history and culture, an integration of ancient traditions and spiritual heritage. The stunning SHWEDAGON Pagoda is the center piece of Yangon city, which itself is famous for the best British colonial era architecture. Of particular interest in many shops of Bogyoke Aung San Market, and of world renown, are Myanmar’s precious stones-rubies, sapphires and jade. At night time, Chinatown comes alive with its pungent aromas and delicious street food. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing.

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

Automatic Road Feature Extraction from High Resolution Remote Sensing Imagery

Author : Xiao Wang
Publisher :
ISBN 13 :
Total Pages : 138 pages
Book Rating : 4.:/5 (422 download)

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Book Synopsis Automatic Road Feature Extraction from High Resolution Remote Sensing Imagery by : Xiao Wang

Download or read book Automatic Road Feature Extraction from High Resolution Remote Sensing Imagery written by Xiao Wang and published by . This book was released on 2008 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores the automatic extraction of road features from aerial digital imagery, which is significant in Geographic Information Systems (GIS).

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.