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AvE4EvA, 2014. IX, 271 p. — ISBN-10 9535115812, ISBN-13 978-9535115816.
This volume is dedicated to microwave remote sensing applications, nuclear, geophysics and telecommunication; and environment remote sensing investigations.Nowadays advanced remote sensing technology plays tremendous roles in building a quantitative and comprehensive understanding of how the Earth system works. The advanced remote sensing technology is also used widely to monitor and survey the natural disasters and man-made pollution. Besides, telecommunication is considered as an accuracy remote sensing advanced technology tool. Precise usage of remote sensing and telecommunication cannot be built without comprehensive understanding of mathematics and physics.<strong>ContentsPrefaceMathematical Description of Bayesian Algorithm for Speckle Reduction in Synthetic Aperture Radar DataOil-Spill Pollution Remote Sensing by Synthetic Aperture RadarSimulation of Tsunami Impact on Sea Surface Salinity along Banda Aceh Coastal Waters, IndonesiaHF Radar Network Design for Remote Sensing of the South China SeaA Three-dimensional of Coastline Deformation using the Sorting Reliability Algorithm of ENVISAT Interferometric Synthetic Aperture RadarOn the Modification of Nuclear Chronometry in Astrophysics and in GeophysicsExploring and Using the Magnetic MethodsIdentification of Communication Channels for Remote Sensing Systems Using Volterra Model in Frequency DomainStatistical Characterization of Bare Soil Surface MicroreliefOil Spill Pollution Automatic Detection from MultiSAR Satellite Data Using Genetic AlgorithmMorphodynamic Environment in a Semiarid Mouth River Complex Choapa River, Chile
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Advanced Geoscience Remote Sensing Edited by Maged Marghany Advanced Geoscience Remote Sensing Edited by Maged Marghany D3pZ4i & bhgvld, Dennixxx & rosea (for softarchive) Stole src from http://avaxho.me/blogs/exLib/ Published by AvE4EvA Copyright © 2014 All chapters are Open Access distributed under the Creative Commons Attribution 3.0 license, which allows users to download, copy and build upon published articles even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. After this work has been published by InTech, authors have the right to republish it, in whole or part, in any publication of which they are the author, and to make other personal use of the work. Any republication, referencing or personal use of the work must explicitly identify the original source. As for readers, this license allows users to download, copy and build upon published chapters even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. Notice Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published chapters. The publisher assumes no responsibility for any damage or injury to persons or property arising out of the use of any materials, instructions, methods or ideas contained in the book. Publishing Process Manager Technical Editor AvE4EvA MuViMix Records Cover Designer Published in print & online 5 June 2014 ISBN-10 9535115812 ISBN-13 978-9535115816 Contents Preface Chapter 1 Mathematical Description of Bayesian Algorithm for Speckle Reduction in Synthetic Aperture Radar Data by Daniela Coltuc Chapter 2 Oil-Spill Pollution Remote Sensing by Synthetic Aperture Radar by Yuanzhi Zhang, Yu Li and Hui Lin Chapte