Remote Sensing Imagery (PDF)

Dedicated to remote sensing images, from their acquisition to their
use in various applications, this book covers the global lifecycle
of images, including sensors and acquisition systems, applications
such as movement monitoring or data assimilation, and image and
data processing.

It is organized in three main parts. The first part presents
technological information about remote sensing (choice of satellite
orbit and sensors) and elements of physics related to sensing
(optics and microwave propagation). The second part presents image
processing algorithms and their specificities for radar or optical,
multi and hyper-spectral images. The final part is devoted to
applications: change detection and analysis of time series,
elevation measurement, displacement measurement and data
assimilation.

Offering a comprehensive survey of the domain of remote sensing
imagery with a multi-disciplinary approach, this book is suitable
for graduate students and engineers, with backgrounds either in
computer science and applied math (signal and image processing) or
geo-physics.

About the Authors

Florence Tupin is Professor at Telecom ParisTech, France. Her
research interests include remote sensing imagery, image analysis
and interpretation, three-dimensional reconstruction, and synthetic
aperture radar, especially for urban remote sensing
applications.

Jordi Inglada works at the Centre National d'Études
Spatiales (French Space Agency), Toulouse, France, in the field of
remote sensing image processing at the CESBIO laboratory. He is in
charge of the development of image processing algorithms for the
operational exploitation of Earth observation images, mainly in the
field of multi-temporal image analysis for land use and cover
change.

Jean-Marie Nicolas is Professor at Telecom ParisTech in the Signal
and Imaging department. His research interests include the modeling
and processing of synthetic aperture radar images.