SPICE-Based SAR Tomography over Forest Areas Using a Small Number of P-Band Airborne F-SAR Images Characterized by Non-Uniformly Distributed Baselines

doi:10.3390/rs11080975

	SPICE-Based SAR Tomography over Forest Areas Using a Small Number of P-Band Airborne F-SAR Images Characterized by Non-Uniformly Distributed Baselines
	Peng, Xing 1,2; Li, Xinwu 1; Wang, Changcheng 2; Zhu, Jianjun 2; Liang, Lei 3; Fu, Haiqiang 2; Du, Yanan 4; Yang, Zefa 2; Xie, Qinghua 5
刊名	REMOTE SENSING
	2019-04-02
卷号	11 期号:8 页码:18
关键词	TomoSAR W&O-SPICE wavelet orthogonal basis vertical structure underlying topography forest height
ISSN号	2072-4292
DOI	10.3390/rs11080975
通讯作者	Li, Xinwu(lixw@aircas.ac.cn)
英文摘要	Synthetic aperture radar tomography (TomoSAR) has been proven to be a useful way to reconstruct vertical structure over forest areas with P-band images, on account of its three-dimensional imaging ability. In the case of a small number of non-uniformly distributed acquisitions, compressive sensing (CS) is generally adopted in TomoSAR. However, the performance of CS depends on the selected hyperparameter, which is closely related to the noise of a pixel. In this paper, to overcome this limitation, we propose a sparse iterative covariance-based estimation (SPICE) approach based on the wavelet and orthogonal sparse basis (W&O-SPICE) for application over forest areas. SPICE is a sparse spectral estimation method that achieves a high vertical resolution, and takes account of the noise adaptively for each resolution cell. Thus, it does not require the user to select a hyperparameter. Furthermore, the used sparse basis not only ensures the sparsity of the forest canopy scattering contribution, but it can also keep the original sparse information of the ground contribution. The proposed method was tested in simulated experiments and the results demonstrated that W&O-SPICE can successfully reconstruct the vertical structure of a forest. Moreover, three P-band fully polarimetric airborne SAR images with non-uniformly distributed baselines were applied to reconstruct the vertical structure of a tropical forest in Mabounie, Gabon. The underlying topography and forest height were estimated, and the root-mean-square errors (RMSEs) were 6.40 m and 4.50 m with respect to the LiDAR digital terrain model (DTM) and canopy height model (CHM), respectively. In addition, W&O-SPICE showed a better performance than W&O-CS, beamforming, Capon, and the iterative adaptive approach (IAA).
资助项目	National Natural Science Foundation of China[41571360] ; National Natural Science Foundation of China[41531068] ; National Natural Science Foundation of China[41820104005] ; National Natural Science Foundation of China[41842059] ; National Natural Science Foundation of China[41804003] ; China Postdoctoral Science Foundation[2016M601110]
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000467646800085
资助机构	National Natural Science Foundation of China ; China Postdoctoral Science Foundation
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/59338]
专题	中国科学院地理科学与资源研究所
通讯作者	Li, Xinwu
作者单位	1.Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 2.Cent S Univ, Sch Geosci & Infophys, Changsha 410083, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100094, Peoples R China 4.Guangzhou Univ, Sch Geog Sci, Guangzhou 510006, Guangdong, Peoples R China 5.China Univ Geosci Wuhan, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China
推荐引用方式 GB/T 7714	Peng, Xing,Li, Xinwu,Wang, Changcheng,et al. SPICE-Based SAR Tomography over Forest Areas Using a Small Number of P-Band Airborne F-SAR Images Characterized by Non-Uniformly Distributed Baselines[J]. REMOTE SENSING,2019,11(8):18.
APA	Peng, Xing.,Li, Xinwu.,Wang, Changcheng.,Zhu, Jianjun.,Liang, Lei.,...&Xie, Qinghua.(2019).SPICE-Based SAR Tomography over Forest Areas Using a Small Number of P-Band Airborne F-SAR Images Characterized by Non-Uniformly Distributed Baselines.REMOTE SENSING,11(8),18.
MLA	Peng, Xing,et al."SPICE-Based SAR Tomography over Forest Areas Using a Small Number of P-Band Airborne F-SAR Images Characterized by Non-Uniformly Distributed Baselines".REMOTE SENSING 11.8(2019):18.