IGSNRR OpenIR
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, Xing1,2; Li, Xinwu1; Wang, Changcheng2; Zhu, Jianjun2; Liang, Lei3; Fu, Haiqiang2; Du, Yanan4; Yang, Zefa2; Xie, Qinghua5
2019-04-02
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume11Issue:8Pages:18
Corresponding AuthorLi, Xinwu(lixw@aircas.ac.cn)
AbstractSynthetic 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).
KeywordTomoSAR W&O-SPICE wavelet orthogonal basis vertical structure underlying topography forest height
DOI10.3390/rs11080975
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational Natural Science Foundation of China ; China Postdoctoral Science Foundation
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000467646800085
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/59339
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLi, Xinwu
Affiliation1.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
Recommended Citation
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.
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