دورية أكاديمية
Underlying topography and forest height estimation from SAR tomography based on a nonparametric spectrum estimation method with low sidelobes
| العنوان: | Underlying topography and forest height estimation from SAR tomography based on a nonparametric spectrum estimation method with low sidelobes |
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| المؤلفون: | Youjun Wang, Xing Peng, Qinghua Xie, Xinwu Li, Xiaomin Luo, Yanan Du, Bing Zhang |
| المصدر: | International Journal of Digital Earth, Vol 15, Iss 1, Pp 2184-2201 (2022) |
| بيانات النشر: | Taylor & Francis Group, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Mathematical geography. Cartography |
| مصطلحات موضوعية: | underlying topography, forest height, tomosar, g-pisarenko method, sidelobes, Mathematical geography. Cartography, GA1-1776 |
| الوصف: | The underlying topography and forest height play an indispensable role in many fields, including geomorphology, civil engineering construction, forest investigation, and the modeling of natural disasters. As a new microwave remote sensing technology with three-dimensional imaging capability, synthetic aperture radar (SAR) tomography (TomoSAR) has already been proven to be an important tool for underlying topography and forest height estimation. Many spectrum estimation methods have now been proposed for TomoSAR. However, most of the commonly used methods are susceptible to noise and inevitably produce sidelobes, resulting in a reduced accuracy for the inversion of forest structural parameters. In this paper, to solve this problem, a nonparametric spectrum estimation method with low sidelobes – the G-Pisarenko method – is introduced. This method performs a logarithmic operation on the covariance matrix to obtain the main scattering characteristics of the objects of interest while suppressing the noise as much as possible. The effectiveness of the proposed method is demonstrated by the use of both simulated data and P-band airborne SAR data from a tropical forest region in Gabon, Africa. The results show that the proposed method can reduce the sidelobes and improve the estimation accuracy for the underlying topography and forest height. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1753-8947 1753-8955 17538947 |
| Relation: | https://doaj.org/toc/1753-8947; https://doaj.org/toc/1753-8955 |
| DOI: | 10.1080/17538947.2022.2153939 |
| URL الوصول: | https://doaj.org/article/fb47ff5edc5745dfabfea2a8d8f96893 |
| رقم الأكسشن: | edsdoj.fb47ff5edc5745dfabfea2a8d8f96893 |
| قاعدة البيانات: | Directory of Open Access Journals |
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Full Text Finder | تدمد: | 17538947 17538955 |
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| DOI: | 10.1080/17538947.2022.2153939 |