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Author : Bormin Huang,Sebastián López,Zhensen Wu
Publisher : Unknown
Page : 128 pages
File Size : 52,6 Mb
Release : 2018
Category : Electronic
ISBN : 1510621687
Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 49,5 Mb
Release : 2024-06-28
Category : Electronic
ISBN : 1510604197
Author : Bormin Huang
Publisher : Unknown
Page : 140 pages
File Size : 41,5 Mb
Release : 2018-02-28
Category : Electronic
ISBN : 1510613242
Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.
Author : Bormin Huang
Publisher : Unknown
Page : 128 pages
File Size : 51,8 Mb
Release : 2017
Category : Electronic
ISBN : 1510613250
Author : Bormin Huang,José M. Nascimento
Publisher : Unknown
Page : 190 pages
File Size : 52,5 Mb
Release : 2017-02-28
Category : Electronic
ISBN : 1510604189
Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research
Author : Lizhe Wang,Jining Yan,Yan Ma
Publisher : CRC Press
Page : 283 pages
File Size : 46,7 Mb
Release : 2019-07-11
Category : Computers
ISBN : 9780429949876
This book provides the users with quick and easy data acquisition, processing, storage and product generation services. It describes the entire life cycle of remote sensing data and builds an entire high performance remote sensing data processing system framework. It also develops a series of remote sensing data management and processing standards. Features: Covers remote sensing cloud computing Covers remote sensing data integration across distributed data centers Covers cloud storage based remote sensing data share service Covers high performance remote sensing data processing Covers distributed remote sensing products analysis
Author : Wenwu Tang,Shaowen Wang
Publisher : Springer Nature
Page : 298 pages
File Size : 47,5 Mb
Release : 2020-07-20
Category : Technology & Engineering
ISBN : 9783030479985
This volume fills a research gap between the rapid development of High Performance Computing (HPC) approaches and their geospatial applications. With a focus on geospatial applications, the book discusses in detail how researchers apply HPC to tackle their geospatial problems. Based on this focus, the book identifies the opportunities and challenges revolving around geospatial applications of HPC. Readers are introduced to the fundamentals of HPC, and will learn how HPC methods are applied in various specific areas of geospatial study. The book begins by discussing theoretical aspects and methodological uses of HPC within a geospatial context, including parallel algorithms, geospatial data handling, spatial analysis and modeling, and cartography and geovisualization. Then, specific domain applications of HPC are addressed in the contexts of earth science, land use and land cover change, urban studies, transportation studies, and social science. The book will be of interest to scientists and engineers who are interested in applying cutting-edge HPC technologies in their respective fields, as well as students and faculty engaged in geography, environmental science, social science, and computer science.
Author : Bormin Huang
Publisher : Unknown
Page : 277 pages
File Size : 41,7 Mb
Release : 2015
Category : Electronic books
ISBN : OCLC:1144273266
Author : Bormin Huang,Sebastián López,Zhensen Wu
Publisher : Unknown
Page : 128 pages
File Size : 50,9 Mb
Release : 2014
Category : Electronic books
ISBN : OCLC:1132071750
Author : Cezary Biele,Janusz Kacprzyk,Jan W. Owsiński,Andrzej Romanowski,Marcin Sikorski
Publisher : Springer Nature
Page : 188 pages
File Size : 52,6 Mb
Release : 2021-06-25
Category : Technology & Engineering
ISBN : 9783030747282
This book presents the Proceedings of MIDI’2020 – 8th Machine Intelligence and Digital Interaction Conference, December 9–10, 2020, Warsaw, Poland, held online. The rapid development of artificial intelligence (AI) and its growing applications in many fields, such as intelligent voice assistants, e-commerce (chatbots) or navigation, make end users increasingly exposed to such systems. In a world where technological solutions based on artificial intelligence are created by people for people, the final success or failure of a newly created product depends on the focus on human needs. Therefore, it is important to integrate so far independent scientific areas: broadly defined artificial intelligence and human–technology interaction. This book is intended for specialists in the above fields and attempts to integrate the perspectives of engineers and social scientists. The book is a source of inspiration as well as practical and theoretical knowledge for all readers interested in new trends in the field of user-centered AI solutions.
Author : Henning Heiselberg,Andrzej Stateczny
Publisher : MDPI
Page : 286 pages
File Size : 45,5 Mb
Release : 2020-12-11
Category : Science
ISBN : 9783039436095
The Special Issue entitled “Remote Sensing in Vessel Detection and Navigation” comprises 15 articles on many topics related to remote sensing with navigational sensors. The sequence of articles included in this Special Issue is in line with the latest scientific trends. The latest developments in science, including artificial intelligence, were used. It can be said that navigation and vessel detection remain important and hot topics, and a lot of work will continue to be done worldwide. New techniques and methods for analyzing and extracting information from navigational sensors and data have been proposed and verified. Some of these will spark further research, and some are already mature and can be considered for industrial implementation and development.
Author : Antonio J. Plaza,Chein-I Chang
Publisher : CRC Press
Page : 494 pages
File Size : 45,8 Mb
Release : 2007-10-18
Category : Computers
ISBN : 9781420011616
Solutions for Time-Critical Remote Sensing Applications The recent use of latest-generation sensors in airborne and satellite platforms is producing a nearly continual stream of high-dimensional data, which, in turn, is creating new processing challenges. To address the computational requirements of time-critical applications, researchers
Author : Arun Solanki,Anand Nayyar,Mohd Naved
Publisher : Academic Press
Page : 444 pages
File Size : 53,8 Mb
Release : 2021-06-22
Category : Science
ISBN : 9780128236130
Generative Adversarial Networks (GAN) have started a revolution in Deep Learning, and today GAN is one of the most researched topics in Artificial Intelligence. Generative Adversarial Networks for Image-to-Image Translation provides a comprehensive overview of the GAN (Generative Adversarial Network) concept starting from the original GAN network to various GAN-based systems such as Deep Convolutional GANs (DCGANs), Conditional GANs (cGANs), StackGAN, Wasserstein GANs (WGAN), cyclical GANs, and many more. The book also provides readers with detailed real-world applications and common projects built using the GAN system with respective Python code. A typical GAN system consists of two neural networks, i.e., generator and discriminator. Both of these networks contest with each other, similar to game theory. The generator is responsible for generating quality images that should resemble ground truth, and the discriminator is accountable for identifying whether the generated image is a real image or a fake image generated by the generator. Being one of the unsupervised learning-based architectures, GAN is a preferred method in cases where labeled data is not available. GAN can generate high-quality images, images of human faces developed from several sketches, convert images from one domain to another, enhance images, combine an image with the style of another image, change the appearance of a human face image to show the effects in the progression of aging, generate images from text, and many more applications. GAN is helpful in generating output very close to the output generated by humans in a fraction of second, and it can efficiently produce high-quality music, speech, and images. Introduces the concept of Generative Adversarial Networks (GAN), including the basics of Generative Modelling, Deep Learning, Autoencoders, and advanced topics in GAN Demonstrates GANs for a wide variety of applications, including image generation, Big Data and data analytics, cloud computing, digital transformation, E-Commerce, and Artistic Neural Networks Includes a wide variety of biomedical and scientific applications, including unsupervised learning, natural language processing, pattern recognition, image and video processing, and disease diagnosis Provides a robust set of methods that will help readers to appropriately and judiciously use the suitable GANs for their applications
Author : F.X. le Dimet
Publisher : Springer Science & Business Media
Page : 271 pages
File Size : 55,9 Mb
Release : 2012-12-06
Category : Science
ISBN : 9789401100335
High Performance Computing in the Geosciences surveys the state of the art of programs presently being developed which require high performance computing for their implementation, provides a guide for decision making in regard to computing directions in future numerical models, and provides an overview of future developments in massively parallel processing and their implications for numerical modelling in the geosciences.
Author : Chein-I Chang
Publisher : John Wiley & Sons
Page : 1180 pages
File Size : 45,5 Mb
Release : 2013-04-08
Category : Technology & Engineering
ISBN : 9780471690566
Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. Specifically, it treats hyperspectral image processing and hyperspectral signal processing as separate subjects in two different categories. Most materials covered in this book can be used in conjunction with the author’s first book, Hyperspectral Imaging: Techniques for Spectral Detection and Classification, without much overlap. Many results in this book are either new or have not been explored, presented, or published in the public domain. These include various aspects of endmember extraction, unsupervised linear spectral mixture analysis, hyperspectral information compression, hyperspectral signal coding and characterization, as well as applications to conceal target detection, multispectral imaging, and magnetic resonance imaging. Hyperspectral Data Processing contains eight major sections: Part I: provides fundamentals of hyperspectral data processing Part II: offers various algorithm designs for endmember extraction Part III: derives theory for supervised linear spectral mixture analysis Part IV: designs unsupervised methods for hyperspectral image analysis Part V: explores new concepts on hyperspectral information compression Parts VI & VII: develops techniques for hyperspectral signal coding and characterization Part VIII: presents applications in multispectral imaging and magnetic resonance imaging Hyperspectral Data Processing compiles an algorithm compendium with MATLAB codes in an appendix to help readers implement many important algorithms developed in this book and write their own program codes without relying on software packages. Hyperspectral Data Processing is a valuable reference for those who have been involved with hyperspectral imaging and its techniques, as well those who are new to the subject.
