Tree height estimation at plateau mountains, northwestern Sichuan, China using dual Pol-InSAR data

Li, Huimin; Wang, Yong; Luo, Xu

doi:10.1109/igarss.2016.7730226

Cited by 4 publications

(1 citation statement)

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“…This technique is helpful for the interpretation of tomograms and can improve the accuracy of underlying topography inversion [21]. However, the FP system also has some disadvantages compared with the dual polarimetric (DP) system, such as high pulse repetition frequency [22,23], narrow swath width [24][25][26], and complicated system design caused by additional channel gain [27]. In particular, as a special DP system, compact polarimetric SAR can simultaneously obtain a rich surface information and realize large width observation, which attracts more attention.…”

Section: Introductionmentioning

confidence: 99%

Underlying Topography Inversion Using Dual Polarimetric TomoSAR

Peng

Long

Wang

et al. 2021

Sensors

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Underlying topography plays an important role in the national economic construction, military security, resource exploration and investigation. Since synthetic aperture radar tomography (TomoSAR) can achieve the three-dimensional imaging of forests, it has been widely used in underlying topography estimation. At present, there are two kinds of TomoSAR based on the applied datasets: single polarimetric TomoSAR (SP-TomoSAR) and fully polarimetric TomoSAR (FP-TomoSAR). However, SP-TomoSAR cannot obtain the underlying topography accurately due to the lack of enough observations. FP-TomoSAR can improve the estimation accuracy of underlying topography. However, it requires high-cost data acquisition for the large-scale application. Thus, this paper proposes the dual polarimetric TomoSAR (DP-TomoSAR) as another suitable candidate to estimate the underlying topography because of its wide swath and multiple polarimetric observations. Moreover, three frequently used spectral estimation algorithms, namely, Beamforming, Capon and MUSIC, are used in DP-TomoSAR. For validation, a series of simulated experiments was carried out, and the airborne P-band multiple polarimetric SAR data over the Lope, Gabon was also acquired to estimate the underlying topography. The results suggest that DP-TomoSAR in HH & HV combination is more suitable to estimate underlying topography over forest areas than other DP combinations. Moreover, the estimation accuracy of DP-TomoSAR is slightly lower than that of FP-TomoSAR but is higher than that of SP-TomoSAR.

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