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Signal and Image Processing of Earth Observations

About the Book Series

The remote sensing area has experienced rapid growth in recent years. One major factor that impacts the growth is the numerous signal and image processing techniques, as well as progress in pattern recognition, artificial intelligence, computer vision, etc. There has been much improvement in computer software and hardware making the use of signal and image processing with the earth observation data much more feasible. With major advances in the development of remote sensing sensors and devices in recent years, the need for advanced information extraction techniques is quite evident. This book series highlights various aspects of signal and image processing activities on earth observations. Mathematical techniques and system developments incorporating signal and image processing in remote sensing is the focus of the series.

3 Series Titles


Signal and Image Processing for Remote Sensing

Signal and Image Processing for Remote Sensing

3rd Edition

Edited By C.H. Chen
June 11, 2024

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...

Deep Learning for Remote Sensing Images with Open Source Software

Deep Learning for Remote Sensing Images with Open Source Software

1st Edition

By Rémi Cresson
January 16, 2022

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 ...

Radar Imaging for Maritime Observation

Radar Imaging for Maritime Observation

1st Edition

By Fabrizio Berizzi, Marco Martorella, Elisa Giusti
February 12, 2018

Based on the experiences of the Department of Information Engineering of the University of Pisa and the Radar and Surveillance System (RaSS) national laboratory of the National Interuniversity Consortium of Telecommunication (CNIT), Radar Imaging for Maritime Observation presents the most recent ...

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