發(fā)布時間：2018-05-12 06:11

  本文選題：極化干涉合成孔徑雷達 + 相干區(qū)域��； 參考：《電子與信息學報》2017年05期

【摘要】：森林區(qū)域林下地形及樹高的反演是極化干涉雷達的一個重要應用。該文首先對極化干涉SAR數(shù)據(jù)的相干區(qū)域進行建模及運用最優(yōu)正規(guī)矩陣近似干涉互相關矩陣,得到白化正規(guī)干涉互相關矩陣。白化正規(guī)干涉互相關矩陣的相干區(qū)域為一條直線,任意求得兩個不同極化狀態(tài)下的相干系數(shù)進行直線擬合,完成地表的估計,再結合體散射去相干與樹高之間的關系,運用查表方法完成樹高的估計。該方法回避了傳統(tǒng)方法中求解所有極化狀態(tài)下的相干系數(shù)估計及相干區(qū)域邊緣提取的步驟,在簡化參數(shù)反演提升估計效率的同時獲得正確地表與樹高估計,最后運用仿真數(shù)據(jù)完成算法有效性與可靠性的驗證。
[Abstract]:The inversion of forest understory topography and tree height is an important application of polarimetric interferometric radar. In this paper, the coherent region of polarimetric interference SAR data is modeled and the whitening normal interference cross-correlation matrix is obtained by using the optimal normal matrix to approximate the interference cross-correlation matrix. The coherent region of the whitening normal interference cross-correlation matrix is a straight line. The coherence coefficients in two different polarization states are obtained to fit the coherent coefficients in a straight line. The estimation of the ground surface is completed, and the relation between the decoherence and the tree height is obtained. The estimation of tree height is completed by the method of look-up table. This method avoids the steps of solving the coherent coefficient estimation and the edge extraction of coherent region in all polarization states in the traditional method. It simplifies the parameter inversion to improve the efficiency of estimation and obtains the correct estimation of surface and tree height at the same time. Finally, the validity and reliability of the algorithm are verified by simulation data.
【作者單位】： 北京理工大學光電學院;北京理工大學信息與電子學院;
【分類號】：TN958
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本文編號：1877444