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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/61175

    Title: 全偏極干涉最佳化技術於樹高反演的理論分析;Theoretical Analysis of Retrieval of Forest Height Based on Coherence Optimization in Pol-InSAR
    Authors: 孫瑜旋;Sun,Yu-syuan
    Contributors: 遙測科技碩士學位學程
    Keywords: 全偏極干涉雷達;樹高反演;Pol-InSAR;Estimation of tree height
    Date: 2013-07-29
    Issue Date: 2013-08-22 12:14:00 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 極化合成孔徑雷達利用發射與接收不同偏極的機制,獲得目標物的散射矩陣,此散射矩陣可充分的描述電磁波與目標物的交互作用情形,而干涉合成孔徑雷達則是於兩次拍攝中,利用接收天線與目標物的幾何關係獲得相位資訊,進而轉換為地表高度。
    Fully polarimetric synthetic aperture radar(SAR) makes use of the polarimetric response of each pixel within the imaged area. The polarimetric response is highly sensitive to the scattering mechanism of a pixel. In Interferometric SAR, the surface height is derived from phase information induced by the geometry between SAR antennas and targets. Pol-InSAR technique combines the interferometric information and the polarimetric parameters of the target, especially in the vegetation area, where the scattering centers is difficult to be distinguished by single-polarized interferometric SAR. As such, Pol-InSAR has been widely studied in vegetation parameters inversion.
    This study consists of three parts: coherence optimization, development of a Random Volume over Ground model(RVoG) and vegetation parameters inversion. We attack these from theoretical analysis point of view. First, coherence optimization method is used to preprocess the data so that the phase center of scatterers under different scattering mechanisms can be distinguished effectively. Based on the RVoG model, vegetation parameters inversion is exploited, in particular the three-stage inversion method is analyzed.
    Validation is made using DLR L-band E-SAR data and satellite C-band Radarsat-2 SAR imagery. Results reveal that there remains drawbacks of the inversion method, largely due to oversimplified RVoG model used in the inversion. The assumptions on which RVoG model based may violate physical conditions and should be modified before the inversion of physical parameters by means of Pol-InSAR can be better applied.
    Appears in Collections:[遙測科技碩士學位學程] 博碩士論文

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