Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
Sensors (Basel). 2023 Jan 1;23(1):469. doi: 10.3390/s23010469.
Validation is the basis of synthetic aperture radar (SAR) image quantification applications. Based on the point target of the field site, the radiation characteristics of the backscattering coefficient image can be used to optimize the SAR imaging, and the product production system can be more closely targeted, to ensure the image product accuracy in the actual quantification application. In this study, the validation of the backscattering coefficient image was examined using calibrators, and the radiometric properties of the image were evaluated by extracting the radar cross-section of each point target. Bilinear interpolation and fast Fourier transform (FFT) interpolation methods were introduced for the local area interpolation of point targets, and the two methods were compared from the perspective of response function imaging and validation accuracy. The results show that the FFT interpolation method is more favorable for validating the backscattering coefficient.
验证是合成孔径雷达 (SAR) 图像量化应用的基础。基于野外实地的点目标,可利用后向散射系数图像的辐射特性来优化 SAR 成像,使产品制作系统更有针对性,从而确保图像产品在实际量化应用中的准确性。本研究利用校准器来验证后向散射系数图像,并通过提取每个点目标的雷达截面来评估图像的辐射特性。本文介绍了用于点目标局部区域插值的双线性插值和快速傅里叶变换 (FFT) 插值方法,并从响应函数成像和验证精度的角度对这两种方法进行了比较。结果表明,FFT 插值方法更有利于验证后向散射系数。