Spaceborne Synthetic Aperture Radar Remote Sensing : Techniques and Applications. Questo articolo non è disponibile.
Lingua: inglese
Editore: CRC Press, 2024
- Brossura
- Nuovo

Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Venditore AbeBooks dal 14 agosto 2006
Condizione: Nuovo
EUR 120,98
Descrizione dell’articolo da parte del venditore
nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides basic and advanced concepts of the SAR, PolSAR, InSAR, PolInSAR, and all the necessary information on various applications and analysis of data of multiple sensors. It includes information on SAR remote sensing, data processing, and separate applications of SAR technology, compiled in one place.
Codice articolo 9781032069098
- Titolo
- Spaceborne Synthetic Aperture Radar Remote Sensing : Techniques and Applications
- Autore
- Shashi Kumar
- Editore
- CRC Press
- Anno di pubblicazione
- 2024
- Condizione
- Neu
- Rilegatura
- Taschenbuch
- Lingua
- inglese
- ISBN 10
- 1032069090
- ISBN 13
- 9781032069098
- Peso dell'articolo
- 811 grammi
- Dimensioni
- 254x178x23 mm
This book provides basic and advanced concepts of synthetic aperture radar (SAR), PolSAR, InSAR, PolInSAR, and all necessary information about various applications and analysis of data of multiple sensors. It includes information on SAR remote sensing, data processing, and separate applications of SAR technology, compiled in one place. It will help readers to use active microwave imaging sensor-based information in geospatial technology and applications.
This book:
- Covers basic and advanced concepts of synthetic aperture radar (SAR) remote sensing
- Introduces spaceborne SAR sensors
- Discusses applications of SAR remote sensing in earth observation
- Explores utilization of SAR data for solid earth, ecosystem, and cryosphere, including imaging of extra-terrestrial bodies
- Includes PolSAR and PolInSAR for aboveground forest biomass retrieval, as well as InSAR and PolSAR for snow parameters retrieval
This book is aimed at researchers and graduate students in remote sensing, photogrammetry, geoscience, image processing, agriculture, environment, forestry, and image processing.
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