Sample BYU microASAR Data

In July 2009, a BYU/Artemis microASAR system was flown as part of the Characterization of Arctic Sea Ice Experiment 2009 (CASIE-09). Prof. James Maslanik at the University of Colorado Boulder was the PI the CASIE-09 experiment while Prof. David Long at Brigham Young University lead the SAR portion of the effort. An extensive data set of high resolution C-band SAR data was collected over sea ice by the microASAR from the NASA Sierra UAV 500 miles northwest of Svalbard Island in the Arctic Ocean [3]. A short sample of the raw microASAR data is being made available as a public service to the wider community to further interest in low-cost SAR applications. Along with the dataset, some sample Matlab scripts to process the data into images using the range-Doppler algorithm (RDA) and the time-domain backprojection algorithm (BP) are also provided. A document provides a description of the microASAR, the sample data, and the example Matlab scripts.

The appropriate citation for the data set and software is "BYU/Artemis microASAR [1][2] data courtesy of David G. Long at Brigham Young University." To help justify further funding from our sponsors, a copy of any publication using this data or software is requested. Please send the copy to Prof. David Long at long@ee.byu.edu.

References:

• [1] M. Edwards, D. Madsen, C.Stringham, A.Margulis, B.Wicks, and D.Long, "microASAR: A small, robust LFM-CW SAR for operation on UAVs and small aircraft, IEEE International Geoscience and Remote Sensing Symposium 2008, pp. 514-517, Boston, MA, doi:10.1109/IGARSS.2008.4780142, 6-11 July 2008.
• [2] C.Stringham and D.G. Long, "Improved processing of the CASIE SAR data," IEEE International Geoscience and Remote Sensing Symposium 2011, pp. 1389-1392, doi:10.1109/IGARSS.2011.6049325, Vancover, Canada, July 2011.
• [3] C. Stringham and D.G. Long, "GPU Processing for UAS-Based LFM-CW Stripmap SAR", Photogrammetric Engineering and Remote Sensing, doi:10.14358/PERS.80.12.1107, Vol. 80, No. 12, pp. 1107-1115, 2014.

BYU microASAR CASIE-09 Sample Data Set*

• Dataset and software description pdf document (12 MB)
• Data: Matlab** mat file flight9_9_sample.mat containing a short time segment of real data (10 MB)
• Processing code: Matlab** script .m file casie_sample_code.m (13 kB). Illustrates both the classic Range-Doppler Algorithm (RDA) and time domain BackProjection (BP) for an LFM-CW SAR.
• Auxilary routine: Matlab** script .m file prctile1.m script (480 B)

Note: no support is available or provided for this software or dataset.

* Data and code are copyright 2011, Brigham Young University, all right reserved. Files may not be re-distributed without written permssion from David Long at Brigham Young University.

** Matlab is a registered trademark.

Selected Papers on microASAR and CASIE-09

• C.Stringham and D.G. Long, "Improved processing of the CASIE SAR data," IEEE International Geoscience and Remote Sensing Symposium 2011, pp. 1389-1392, doi:10.1109/IGARSS.2011.6049325, Vancover, Canada, July 2011.
• C. Stringham and D.G. Long, "GPU Processing for UAS-Based LFM-CW Stripmap SAR", Photogrammetric Engineering and Remote Sensing, doi:10.14358/PERS.80.12.1107, Vol. 80, No. 12, pp. 1107-1115, 2014.
• D.G. Long, E. Zaugg, M. Edwards and J. Maslanik, "The MicroASAR Experiment on CASIE-09," Proceedings of the International Geoscience and Remote Sensing Symposium, pp. 3466-3469, Honolulu, Hawaii, 2010.
• E. Zaugg, D. Long, M. Edwards, M. Fladeland, R. Kolyer, I. Crocker, J. Maslanik, U. Herzfeld, and B. Wallin, "Utilizing the microASAR on the SIERRA UAS for NASA's Characterization of Arctic Sea Ice Experiment," Proc. SPIE 7669, DOI:10.1117/12.850230, 2010.
• E. Zaugg, D. Long, M. Edwards, M. Fladeland, R. Kolyer, I. Crocker, J. Maslanik, U. Herzfeld, and B. Wallin, "Using the MicroASAR on the NASA SIERRA UAS in the Characterization of Arctic Sea Ice Experiment," IEEE Radar Conference 2010, pp. 271-276, DOI:10.1109/RADAR.2010.5494611, 10-14 May 2010.
• E.C. Zaugg and D.G. Long, "Generalized Frequency-Domain SAR Processing," IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, No. 11, pp. 3761-3773, 2009.
• M. Edwards, D. Madsen, C. Stringham, A. Margulis, B. Wicks, and D.G. Long, "microASAR: A Small, Robust LFM-CW SAR for Operation on UAVs and Small Aircraft," Proceedings of the International Geoscience and Remote Sensing Symposium, Vol. V, pp. 514-517, Boston, MA, 6-11 Jul., 2008.
• E.C. Zaugg and D.G. Long, "Theory and Application of Motion Compensation for LFM-CW SAR", IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, No. 10, pp. 2990-2998, 2008.
• E.C. Zaugg and D.G. Long, "Full Motion Compensation for LFM-CW Synthetic Aperture Radar," Proceedings of the International Geoscience and Remote Sensing Symposium, pp. 5198-5201, Barcelona, Spain, 23-28 Jul. 2007.
• E.C. Zaugg, D.L. Hudson, and D.G. Long, "The BYU microSAR: A Small, Student-Built SAR for UAV Operation," Proceedings of the International Geoscience and Remote Sensing Symposium, pp. 411-414, Denver, Colorado, 31 Jul. - 4 Aug. 2006.

Last updated: 22 Mar 2012