Artigo Acesso aberto Revisado por pares

Pol-SAR Image Simulation of the Lunar Surface With Data Analysis of Chandrayaan-2 and Mini-RF

2023; Institute of Electrical and Electronics Engineers; Volume: 16; Linguagem: Inglês

10.1109/jstars.2023.3328063

ISSN

2151-1535

Autores

Niutao Liu, Ya‐Qiu Jin,

Tópico(s)

Geophysics and Gravity Measurements

Resumo

Dual-frequency synthetic aperture radar (DFSAR) onboard Chandrayaan-2 and Mini-RF onboard Lunar Reconnaissance Orbiter have acquired fully polarized and compact polarized SAR data of the lunar surface. However, there are only few numerical simulations of lunar SAR images. In this paper, a method for simulation of fully polarized SAR images of lunar rough surfaces is presented to clarify the scattering mechanism in SAR data. SAR images of lunar craters are simulated and compared with the DFSAR and Mini-RF data. The influence of co-polarization ratio $\sigma^0_{HH}$ / $\sigma^0_{VV}$ on its relative phase are analyzed, and validated with simulation and data. To study the scatterings from small craters or rocks which are usually missed in digital elevation model (DEM) data, the high resolution meshes are superimposed on the DEM data. Scatterings from these meshes are numerically simulated with the Kirchhoff approximation (KA) and small perturbation model (SPM). The Range Doppler algorithm is used to produce the SAR images. The enhanced polarized scatterings from undulating topography is simulated and validated with Mini-RF data at S-band and optical image of the crater Galilei E. Due to small incidence angles of DFSAR and radar parallax, strong backscattering caused by rocks at the crater wall facing away from the radar occupies more pixels in range direction in DFSAR images than Mini-RF images. DFSAR dual-frequency images of Apollo 17 landing site are specifically analyzed with assistances of simulations, optical images and high-resolution digital terrain model. Dual-frequency SAR images from Chandrayaan-2 reveal different geologic units of lunar surface, which are invisible in optical images. In addition, the inversion of orientation angles is analyzed as well. The simulation and analysis in this paper will be helpful in lunar SAR data interpretation.

Referência(s)