| 摘要(英) |
Remote Sensing Instrument (RSI) is the primary optical sensor on board FORMOSAT-5 (FS-5), which can provide 2-meter in panchromatic and 4-meter in multi-spectral of high-spatial-resolution imagery. To maintain the radiometric quality, the periodical radiometric calibration is essential no matter before and after launched. For the relative radiometric calibration which related to the non-uniform response between detectors, the general methods for relative radiometric calibration such as Fourier transform and wavelet transform, are usually under the assumption of presetting basic functions without considering the noise. Although the modern development method named Empirical Mode Decomposition(EMD) is suitable for the relative calibration of non-stable signal but still been affected by the noise. Therefore, this study focuses on the issue caused from noise for improving the result of relative calibration. The Ensemble Empirical Mode Decomposition(EEMD) method is applied to calibrate FS-5 pre-flight and on-orbit data for relative radiometric calibration of RSI by considering the effect of noise.
The calibration results show that all the calibrated results of EEMD are better than EMD results for both pre-flight and on-orbit images. Taking the results of gain number 1 (G1) for example, standard deviation of calibrated imageries using EEMD (pre-flight: PAN: 4.85, B2: 1.56, B3: 1.81, B4: 1.52, on-orbit: PAN: 6.42, B1: 4.35, B3: 5.24, B4: 5.19) is lower than EMD (pre-flight: PAN:6.39, B2: 2.93, B3: 2.98, B4: 2.90, on-orbit: PAN: 9.52, B1: 6.76, B3: 8.06, B4: 9.59) and the improving ratio can up to 90%. The results also indicate that the impact of noise is significant to FS-5 RSI relative response coefficients. More importantly, the proposed EEMD approach can further facilitate the operational procedure of FS-5 RSI relative calibration under the conditions which the noise changes as time goes by.
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