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Advances in signal and image processing for remote sensing have been tremendous in recent years. The progress has been particularly significant with the use of deep learning based techniques to solve remote sensing problems. These advancements are the focus of this third edition of Signal and Image Processing for Remote Sensing. It emphasizes the use of machine learning approaches for the extraction of remote sensing information. Other topics include change detection in remote sensing and compressed sensing. With 19 new chapters written by world leaders in the field, this book provides an authoritative examination and offers a unique point of view on signal and image processing. Features Inc...
Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processing can contribute significantly in extracting information from remotely sensed waveforms or time series data. This book combines both, providing a unique balance between the role of signal processing and image processing. Featuring contributions from worldwide experts, this book continues to emphasize mathematical approaches. Not limited to satellite data, it also considers signals and images from...
Sea Ice Image Processing with MATLAB addresses the topic of image processing for the extraction of key sea ice characteristics from digital photography, which is of great relevance for Artic remote sensing and marine operations. This valuable guide provides tools for quantifying the ice environment that needs to be identified and reproduced for such testing. This includes fit-for-purpose studies of existing vessels, new-build conceptual design and detailed engineering design studies for new developments, and studies of demanding marine operations involving multiple vessels and operational scenarios in sea ice. A major contribution of this work is the development of automated computer algorit...
In today’s world, deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches detailed in this book are generic and can be adapted to suit many different applications for remote sensing image processing, including landcover mapping, forestry, urban studies, disaster mapping, image restoration, etc. Written with practitioners a...
The biannual, peer-reviewed Journal of Romanian Studies, jointly developed by The Society for Romanian Studies and ibidem Press, examines critical issues in Romanian studies, linking work in that field to wider theoretical debates and issues of current relevance, and serving as a forum for junior and senior scholars. The journal also presents articles that connect Romania and Moldova comparatively with other states and their ethnic majorities and minorities, and with other groups by investigating the challenges of migration and globalization and the impact of the European Union. Issue No. 6 is a Special Issue on Communication, guest-edited by Raluca Radu and Ioana Coman. It contains contributions by Radu Silaghi-Dumitrescu, Lucian-Vasile Szabo, Alla Rosca, Marius Dragomir, Dumitrița Holdiș, Cristina Lupu, Manuela Preoteasa, Marian Voicu, Antonio Momoc, Onoriu Colăcel, Tibori Szabo Zoltan, Andrei Richter, Paolo Mancini, Anca Șincan, Roland Clark, Dana Domsodi, R. Chris Davis.
Un thriller sulla colpa e la vendetta, sull'amicizia e la malattia, sul passato che torna, inesorabilmente, a sconvolgere le nostre vite.
Future remote sensing systems will make extensive use of Compressive Sensing (CS) as it becomes more integrated into the system design with increased high resolution sensor developments and the rising earth observation data generated each year. Written by leading experts in the field Compressive Sensing of Earth Observations provides a comprehensive and balanced coverage of the theory and applications of CS in all aspects of earth observations. This work covers a myriad of practical aspects such as the use of CS in detection of human vital signs in a cluttered environment and the corresponding modeling of rib-cage breathing. Readers are also presented with three different applications of CS to the ISAR imaging problem, which includes image reconstruction from compressed data, resolution enhancement, and image reconstruction from incomplete data.
A travel guide to Italy, updated for 2002 with new hotels, restaurants, destinations and sights. There are extensive chapters on Rome, Florence and Venice, along with information on other top tourist destinations. Travel planning tips are included, as well as descriptions of the food and wine.