4 October 2017 Quantitative analysis of relative geolocation accuracy of the TerraSAR-X enhanced ellipsoid corrected product
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High-resolution commercial synthetic aperture radar (SAR) satellites with resolutions of several meters have recently been used for effective disaster monitoring. One study reported the earthquake’s displacement using the pixel matching method with both pre- and postevent TerraSAR-X data, with a validated accuracy of ∼30  cm at global navigation satellite system (GNSS) Earth observation network (GEONET) reference points. However, it is insufficient to determine the accuracy using analysis of only a couple of data points per orbit. In addition, the errors were not reported because the number of data samples was too small to discuss the statistics. In order to better understand displacement accuracy, we analyzed displacement features using the pixel matching method to evaluate the relative geolocation accuracies of the TerraSAR-X product. First, we used fast Fourier transform oversampling 16 times to develop the pixel matching method for estimating the displacement at the subpixel level using the TerraSAR-X StripMap dataset. Second, we applied this methodology to 20 pairs of images from the Tokyo metropolitan area and calculated the displacement for each image pair. Third, we conducted spatial and temporal analyses in order to understand the displacement features. Finally, we evaluated the displacement accuracy by comparison with GEONET and solid earth tide data as a reference.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Takashi Nonaka, Takashi Nonaka, Tomohito Asaka, Tomohito Asaka, Keishi Iwashita, Keishi Iwashita, Wen Liu, Wen Liu, Fumio Yamazaki, Fumio Yamazaki, Tadashi Sasagawa, Tadashi Sasagawa, "Quantitative analysis of relative geolocation accuracy of the TerraSAR-X enhanced ellipsoid corrected product," Journal of Applied Remote Sensing 11(4), 044001 (4 October 2017). https://doi.org/10.1117/1.JRS.11.044001 . Submission: Received: 16 March 2017; Accepted: 6 September 2017
Received: 16 March 2017; Accepted: 6 September 2017; Published: 4 October 2017


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