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It will also have applications for the upcoming NISAR (NASA-ISRO SAR Mission).
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This paper aims to discusses the extraction of urban features from airborne NISAR (NASA-ISRO SAR) data using deep learning algorithm for a part of Ahmedabad City.
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The focus is put on initiatives related to the upcoming NASA-ISRO SAR (NISAR) mission, whose globally-acquired, free-and-open L-band SAR data will facilitate a wide range of new science and applications activities.
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This NASA microwave sensor operates at the same frequency as one of the sensors on the upcoming NASA-ISRO SAR (NISAR) mission scheduled to launch in 2022 and data acquired will be used to both improve thickness algorithm development and simulate the expected performance of the NISAR instrument for oil slick detection and characterization.
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This study will be useful for future satellite missions such as NASA-ISRO SAR mission.
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The NASA ISRO SAR mission (NISAR) will be a dedicated U.
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