一種利用干涉敏感度方程的Pol-InSAR定標(biāo)改進(jìn)算法
An Improved Pol-InSAR Calibration Algorithm Using Sensitivity Equation
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摘要: 目前國際上對極化SAR干涉定標(biāo)技術(shù)的研究還處在理論和試驗的階段。所提出的算法存在諸多的局限性。本論文在分析極化SAR干涉系統(tǒng)誤差源的基礎(chǔ)上，提出了利用干涉敏感度方程的Pol-InSAR定標(biāo)改進(jìn)算法。該算法利用敏感度方程進(jìn)行迭代參數(shù)估計，不僅提高了基線估計值的精度，而且克服了Kim等人(2000)提出的理論算法中的平地模型假設(shè)，擴(kuò)大了Pol-InSAR定標(biāo)算法的應(yīng)用范圍。最后通過模擬森林地區(qū)Pol-InSAR數(shù)據(jù)，仿真試驗分析比較了改進(jìn)算法與傳統(tǒng)算法定標(biāo)試驗的結(jié)果，改進(jìn)算法有很大的優(yōu)勢。
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關(guān)鍵詞:
- 極化干涉SAR;定標(biāo)算法;敏感度方程
Abstract: Presently the development of researches on the calibration of Pol-InSAR at the stage of the theory and test. There are many limits in the current algorithm. A new improved algorithm is set up with using the sensitivity equation based on the analysis of the errors source. The algorithm get the parameter value by the iterative method based on the sensitivity equation. The algorithm not only improves the precision but also overcome the flaw of homogeneous flat model, reducing the limit condition. By the simulation experiments, it has been proved that the performances of the new improved algorithm is better than the conventional algorithm. -
Yunjin Kim, van Zyl J. Overview of Polarimetric Interferometry [C]. Aerospace Conference Proceedings, Big Sky, MT, USA, 03/18/2000 03/25/2000, vol.3: 231-236.[2]Papathanassiou K P, Reigber A, Scheiber R. Airborne Polarime- tric SAR Interferometry[C]. Geoscience and Remote Sensing Symposium Proceedings, Seattle, WA, USA 07/06/1998 07/10/1998, vol.4: 1901-1903.[3]陳小英. 極化SAR干涉測量地形參數(shù)方法研究[D]. [碩士論文], 北京：中國科學(xué)院電子學(xué)研究所，2002.[4]Whitt M W, Ulaby F T, Polatin P, et al.. A general polarimetric radar calibration technique[J].IEEE Trans. on Antennas and Propagation.1991, 39(1):62-67[5]王彥平. 機(jī)載干涉SAR定標(biāo)模型與算法研究[D]. [博士論文], 北京：中國科學(xué)院電子學(xué)研究所，2003.[6]Cloude S R, Papathanassiou K P. Polarimetric SAR interferome- try[J].IEEE Trans. Geoscience and Remote Sensing.1998, 36(5):1551-1565 -
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