On the Performance of Reweighted L-1 Minimization for Tomographic SAR Imaging

	On the Performance of Reweighted L-1 Minimization for Tomographic SAR Imaging
	Ma, Peifeng 1; Lin, Hui 1; Lan, Hengxing 1; Chen, Fulong 1
刊名	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
	2015
卷号	12 期号:4
关键词	Reweighted L-1 minimization TerraSAR-X/TanDEM-X tomographic synthetic aperture radar (SAR) imaging urban areas
通讯作者	Ma, PF (reprint author), Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Shatin, Hong Kong, Peoples R China.
英文摘要	L-1 minimization has proven to be useful for tomographic synthetic aperture radar (SAR) imaging because it has super-resolution capability and produces no sidelobes. However, it cannot always derive the sparsest solution and often yields outliers in recovery. Consequently, it is usually difficult to extract true persistent scatterers straightforwardly in practice. To enhance the sparsity, we introduce iterative reweighted L-1 minimization for sparse inversion. The weight factor is computed in each iteration, according to the previous tomographic magnitude to establish a more democratic penalization rule. Our simulation results indicate that the reweighted algorithm can achieve perfect recovery when noise is lower. Specifically, when the signal-to-noise ratio is equal to 5 dB, two reweighted iterations can improve the probability of true sparsity from 29.2% to 99.8% for single scatterers and from 0.2% to 95.4% for double scatterers. Due to the enhanced sparsity, we can directly identify scatterers without the need for further model selection. The method is validated using 44 TerraSAR-X/TanDEM-X images. Single and double scatterers are detected in urban areas. Verification using light detection and ranging (LiDAR) data indicates that we achieve submeter accuracy of the height estimates.
研究领域[WOS]	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000349674400042
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38459]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.[Ma, Peifeng 2.Lin, Hui] Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Shatin, Hong Kong, Peoples R China 3.[Ma, Peifeng 4.Lin, Hui] Chinese Univ Hong Kong, Shenzhen Res Inst, Shatin, Hong Kong, Peoples R China 5.[Lan, Hengxing] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 6.[Chen, Fulong] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
推荐引用方式 GB/T 7714	Ma, Peifeng,Lin, Hui,Lan, Hengxing,et al. On the Performance of Reweighted L-1 Minimization for Tomographic SAR Imaging[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2015,12(4).
APA	Ma, Peifeng,Lin, Hui,Lan, Hengxing,&Chen, Fulong.(2015).On the Performance of Reweighted L-1 Minimization for Tomographic SAR Imaging.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,12(4).
MLA	Ma, Peifeng,et al."On the Performance of Reweighted L-1 Minimization for Tomographic SAR Imaging".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 12.4(2015).