TY - GEN
T1 - Data interpolation and resampling for a synthetic aperture radar data
AU - Kusano, Shunichi
AU - Sato, Motoyuki
AU - Yokota, Yuya
PY - 2011/11/16
Y1 - 2011/11/16
N2 - In this paper, we introduce interpolation for a detailed observation of synthetic aperture radar (SAR) data. The interpolation is done by zero-padding in the frequency domain. By comparing the raw SAR data and the interpolated data, for example, it is observed that the raw span at a corner reflector we deployed is 0.75 times smaller than its real values. Also, we propose a resampling method applied to the interpolated data to keep data amount same as raw data. The proposed method resamples points where peaks of the span due to coherent targets exist. As for pixels where the peak does not exist, points with the smallest polarimetric entropy are selected. The proposed method is compared to raw data and the resampled data by the maximum filter. It is confirmed that the proposed data emphasizes the characteristics of the raw data. Also, its blurring effect is not as much as that in the resampled data by the maximum filter. This technique is quite basic, however, the effect is not negligible.
AB - In this paper, we introduce interpolation for a detailed observation of synthetic aperture radar (SAR) data. The interpolation is done by zero-padding in the frequency domain. By comparing the raw SAR data and the interpolated data, for example, it is observed that the raw span at a corner reflector we deployed is 0.75 times smaller than its real values. Also, we propose a resampling method applied to the interpolated data to keep data amount same as raw data. The proposed method resamples points where peaks of the span due to coherent targets exist. As for pixels where the peak does not exist, points with the smallest polarimetric entropy are selected. The proposed method is compared to raw data and the resampled data by the maximum filter. It is confirmed that the proposed data emphasizes the characteristics of the raw data. Also, its blurring effect is not as much as that in the resampled data by the maximum filter. This technique is quite basic, however, the effect is not negligible.
KW - 3dB-pulsewidth
KW - resmapling
KW - synthetic aperture radar
UR - http://www.scopus.com/inward/record.url?scp=80955172004&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80955172004&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2011.6049213
DO - 10.1109/IGARSS.2011.6049213
M3 - Conference contribution
AN - SCOPUS:80955172004
SN - 9781457710056
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 652
EP - 655
BT - 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
T2 - 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
Y2 - 24 July 2011 through 29 July 2011
ER -