NISAR Real Time Data Processing – A Simple and Futuristic View
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-62625-9_9
Reference14 articles.
1. Manavalan, R.: SAR image analysis techniques for flood area mapping - literature survey. Earth Sci. Inf. 10(1), 1–14 (2016). https://doi.org/10.1007/s12145-016-0274-2
2. Manavalan, R.: Review article, Review of synthetic aperture radar frequency, polarization, and incidence angle data for mapping the inundated regions. Int. J. Appl. Remote Sensing 12(2), 021501 (2018). https://doi.org/10.1117/1.JRS.12.021501
3. Lanari, R (2015) From ERS-1 TO SENTINEL-1, A big data challenge for 25 years of DInSAR observations. Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Milan, pp. 1460–1463. https://doi.org/10.1109/igarss.2015.7326054
4. Elefante, S., Zinno, I., De Luca, C., Manunta, M., Lanari, R., Casu, F.: Big DInSAR data processing through the P-SBAS algorithm. In: IEEE International Geoscience and Remote Sensing Symposium, Milan, pp. 2696–2698 (2015). https://doi.org/10.1109/igarss.2015.7326369
5. Rosen, P.A, Hensley, S., Shaffer, S., Veilleux, L., RajuSagi, V., Satish, R.: The NASA-ISRO SAR mission - An international space partnership for science and societal benefit. In: IEEE Radar Conference, Arlington, VA, pp. 1610–1613 (2015). https://doi.org/10.1109/radar.2015.7131255
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