基于PolInSAR的植被區(qū)高精度數(shù)字表面模型反演方法
doi: 10.11999/JEIT180387
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西安電子科技大學(xué)雷達(dá)信號(hào)處理國(guó)家重點(diǎn)實(shí)驗(yàn)室 ??西安 ??710071
High-precision Digital Surface Model Inversion Approach in Forest Region Based on PolInSAR
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National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
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摘要:
針對(duì)傳統(tǒng)方法無(wú)法估計(jì)電磁波在植被中的穿透深度導(dǎo)致植被數(shù)字表面模型(DSM)反演誤差較大的問題，該文提出一種高精度DSM估計(jì)方法。該方法首先通過極化干涉相干最優(yōu)中最大化相位差法分離得到電磁波在植被中高、低散射相位中心的干涉相位。然后提出一種歸一化高、低散射相位中心高度隨消光系數(shù)變化的模型，基于該模型搜索得到電磁波在植被中的最淺穿透深度。最后利用干涉處理方法得到高散射相位中心的高程，將最淺穿透深度補(bǔ)償?shù)皆摳叱讨?，從而提升植被區(qū)DSM估計(jì)精度。利用PolSARpro軟件在不同植被種類和不同植被高度下進(jìn)行仿真試驗(yàn)以及機(jī)載全極化數(shù)據(jù)進(jìn)行實(shí)測(cè)數(shù)據(jù)試驗(yàn)，試驗(yàn)結(jié)果表明該方法能有效提高植被區(qū)DSM反演精度。
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關(guān)鍵詞:
- 極化干涉 /
- 散射相位中心 /
- 穿透深度 /
- 數(shù)字表面模型
Abstract:The general method for inversion of Digital Surface Model (DSM) in forest region has great errors due to the inestimable waves’ penetration depth. For this problem, an approach to inversion of high-precision DSM is proposed. First, the phases of high and low scattering phase centers of the waves in forest are obtained by maximizing the phase separation of the coherence optimization. Then, the normal height variation models of the high and low scattering centers with extinction factors are constructed. According to the models, the least penetration depth of the waves in forest is acquired. Eventually, by implementing the interferometric technique on the phase of high scattering phase center, a coarse DSM is retrieved, and a high-precision DSM is developed by compensating the least penetration depth to the coarse one. The validation of the method is investigated by simulated datasets of PolSARpro under different tree species and different forest heights and by airborne real datasets. It shows that the proposed method can improve the accuracy on the inversion of DSM effectively in forest region.
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表 1 雷達(dá)幾何參數(shù)
參數(shù)名 參數(shù)值 雷達(dá)平臺(tái)高度(m) 3000 有效基線長(zhǎng)度(m) 6.33 雷達(dá)下視角(°) 45 雷達(dá)工作頻率(GHz) 1.3 
下載: 導(dǎo)出CSV
表 2 場(chǎng)景參數(shù)
參數(shù)名 參數(shù)值 樹種類型 闊葉林/針葉林 植被高度(m) 18/10 樹種密度(株/Ha) 600 距離向地形坡度(°) 0
下載: 導(dǎo)出CSV
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