Abstract
With the needs of continuous data quality assessment for massive Gaofen-3 (GF-3) polarimetric data, an automatic and efficient quality evaluation method is urgently needed. In this article, an automated polarimetric SAR data quality assessment method is conducted using a classic convolution neural network (VGG-16). The method is first pretrained, performance-tested, and robustness-tested on Radarsat-2 fully polarimetric data, then trained by selected SAR scenes of GF-3 for being applied on GF-3 data. The network is supposed to fulfill the work of automatically and accurately selecting those distributed targets satisfying quality evaluation under various scenes. A PolSAR data assessment method based on these distributed targets proposed by the authors in previous work is then applied to give the evaluation results. Experiments on GF-3 data and the comparison to prior works and corner reflectors on polarimetric distortion assessment results verify the effectiveness and advantages of the proposed method. The polarization data quality of GF-3 at different beams is also obtained. The technique and strategy in this article are practical and contributing to the long-term quality assessment of PolSAR data.
Highlights
G AOFEN-3 (GF-3), the first full polarization SAR satellite of China, was launched in August 2016, which works at C band and has 12 imaging modes with resolution up to 1 m [1], [2]
To realize the automatic assessment of GF-3 data quality, we focus on the automatic extraction of the distributed targets under variable and complex SAR scenes
The experimental results demonstrate that the automatic assessment method is feasible, which has similar stability and accuracy with the results of the manual box-selection method
Summary
G AOFEN-3 (GF-3), the first full polarization SAR satellite of China, was launched in August 2016, which works at C band and has 12 imaging modes with resolution up to 1 m [1], [2]. It is designed that the channel isolation is better than −35 dB, and the channel imbalance is within 0.5 dB/10°. It provides full-polarized data with swaths of at least 20 km with a resolution of about 8 m, and 35 km swath with a resolution about 25 m. There are 28 beams with look angle ranging from 17.6° to 43.8° at both right- and left-looking orientation at the Quad-pol Stripmap mode
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have