IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium 2018
DOI: 10.1109/igarss.2018.8517413
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Oil Storage Estimation with Time-Series L-Band Sar Imagery

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(4 citation statements)
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“…To obtain the number of static CSs which match this semicircle, the method previously described in section III-D can be used. Rather than applying this method to the CSs detected in a single image, in this case it should be applied to the static CSs in S. Now, the function with the crosscorrelation values for each layover l can be denoted as f s (l), and the layover l rs for which the highest number of static CSs match such a semicircle can be obtained using equation (16).…”
Section: Estimation Of the Initial Position Of The Floating Roofmentioning
confidence: 99%
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“…To obtain the number of static CSs which match this semicircle, the method previously described in section III-D can be used. Rather than applying this method to the CSs detected in a single image, in this case it should be applied to the static CSs in S. Now, the function with the crosscorrelation values for each layover l can be denoted as f s (l), and the layover l rs for which the highest number of static CSs match such a semicircle can be obtained using equation (16).…”
Section: Estimation Of the Initial Position Of The Floating Roofmentioning
confidence: 99%
“…More recently, two publications [16], [17] have introduced methods capable of automatically extracting some information about oil storage from SAR images. The method described in [16] can automatically estimate the vertical displacement over time of the floating roof of oil storage tanks using time series of moderate resolution SAR images.…”
Section: Introductionmentioning
confidence: 99%
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