Compressive sensing for multibaseline polarimetric sar tomography of forested areas
文献类型：期刊论文
| 作者 | Li, Xinwu1; Liang, Lei1; Guo, Huadong1; Huang, Yue1 |
| 刊名 | IEEE Transactions on Geoscience and Remote Sensing
 |
| 出版日期 | 2016 |
| 卷号 | 54期号:1页码:153-166 |
| 关键词 | NDVI TIME-SERIES MONITORING VEGETATION SURFACE REFLECTANCE BIDIRECTIONAL NDVI BRDF INVERSION MODIS RETRIEVAL PRODUCTS ALBEDO INDEX |
| 通讯作者 | Liang, Lei (ramboleong@126.com) |
| 英文摘要 | The structure of forests is an important indicator of ecosystem dynamics and enables the modeling and monitoring of ecological change. Synthetic aperture radar tomography (TomoSAR) provides scene reflectivity estimation of vegetation along elevation coordinates. Due to the advantages of superresolution imaging and a small number of measurements, compressive sensing (CS) inversion techniques for SAR tomography were successfully developed and applied. This paper addresses the 3-D imaging of forested areas based on the framework of CS using fully polarimetric (FP) multibaseline SAR interferometric (MB-InSAR) tomography at P-band. A new CS-based FP MB-InSAR tomography method is proposed: a sum of Kronecker product (SKP) decomposition-based CS FP MB-InSAR tomography method (FP-SKPCS TomoSAR method). The method, based on an assumption that the reflectivity signal of a single scattering mechanism (SM) is more sparse than that of a composite of SMs, recovers the reflectivity profile of different SMs by using the CS technique. This method not only allows superresolution imaging with a low number of acquisitions but also can estimate the polarimetric SM of the vertical structure of forested areas. The effectiveness of these novel techniques for polarimetric SAR tomography is demonstrated using FP P-band airborne data sets acquired by the ONERA SETHI airborne system over a test site in Paracou, French Guiana, and the results of the vertical structure of forested areas derived by the method are verified by in situ test data. © 1980-2012 IEEE. |
| 学科主题 | Geochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science & Photographic Technology |
| 类目[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:20153001069566 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39181]  |
| 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. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 2. University of Chinese, Academy of Sciences, Beijing, China 3. Intermap Technologies Corporation, Calgary 4.AB, Canada |
| 推荐引用方式 GB/T 7714 | Li, Xinwu,Liang, Lei,Guo, Huadong,et al. Compressive sensing for multibaseline polarimetric sar tomography of forested areas[J]. IEEE Transactions on Geoscience and Remote Sensing,2016,54(1):153-166. |
| APA | Li, Xinwu,Liang, Lei,Guo, Huadong,&Huang, Yue.(2016).Compressive sensing for multibaseline polarimetric sar tomography of forested areas.IEEE Transactions on Geoscience and Remote Sensing,54(1),153-166. |
| MLA | Li, Xinwu,et al."Compressive sensing for multibaseline polarimetric sar tomography of forested areas".IEEE Transactions on Geoscience and Remote Sensing 54.1(2016):153-166. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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