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Bistatic Synthetic Aperture Radar
2012Bistatic Synthetic Aperture Radar represents an active research and development area in radar technology. In addition, Bistatic and Multistatic SAR concepts are tightly related to formation flying and distributed space missions that also represent the new space-based remote sensing and surveillance frontiers.
MOCCIA, ANTONIO, RENGA, ALFREDO
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A Mathematical Tutorial on Synthetic Aperture Radar
SIAM Review, 2001Radar signal processing represents an important and fascinating sensor technology because it provides an all-weather, day/night capability to not only detect and locate remote objects, but to generate a spatial, visual representation, that is an image, of the radar reflectivity of an illuminated scenery.
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Synthetic Aperture Radar Processing
2018Synthetic Aperture Radar Processing simply and methodically presents principles and techniques of Synthetic Aperture Radar (SAR) image generation by analyzing its system transfer function. The text considers the full array of operation modes from strip to scan, emphasizes processing techniques, enabling the design of operational SAR codes.
G Franceschetti, R Lanari
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Synthetic aperture radar interferometry
Proceedings of the IEEE, 2000P. Rosen +6 more
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2010
Since its appearance in the nineteen fifties Synthetic Aperture Radar (SAR) has been experiencing a continuous growth in systems, performance and applications. Thanks to its possibility of any-weather and any-time operation, SAR became rapidly a primary remote sensing system for Earth and planetary observation and today a widening of its application in
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Since its appearance in the nineteen fifties Synthetic Aperture Radar (SAR) has been experiencing a continuous growth in systems, performance and applications. Thanks to its possibility of any-weather and any-time operation, SAR became rapidly a primary remote sensing system for Earth and planetary observation and today a widening of its application in
openaire +3 more sources
Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks
IEEE Transactions on Neural Networks and Learning Systems, 2016Maoguo Gong +4 more
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Synthetic alternatives to Matrigel
Nature Reviews Materials, 2020Elizabeth A Aisenbrey, William L Murphy
exaly
A Review of Synthetic Aperture Radar Jamming Technique
, 2020L. Yongzhen +3 more
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