This paper discusses the estimation of rice yield from Water Cloud Models (WCM) with different layers by a single X-band (8–12 GHz) Synthetic Aperture Radar (SAR) image, from a satellite named TerraSAR. A simulated annealing (SA) algorithm, with a ‘leave-one-out’ cross-validation method, was applied. The results were related to actual rice parameters, with a coefficient of determination (R ²) of 0.6059, which not only demonstrated that a single-layer WCM was better than a double-layer WCM for grain number estimation, but also indicated the potential to estimate rice production from a single SAR image. A comparison of estimates indicated that the single-layer WCM overcame insufficiencies that existed in the double-layer WCM. The range of backscattering coefficients from the model was also discussed.

本文讨论了通过来自名为TerraSAR的卫星的单个X波段（8-12 GHz）合成孔径雷达（SAR）图像，利用不同层的水云模型（WCM）估算水稻产量。采用了模拟退火（SA）算法和“留一法”交叉验证方法。结果与水稻的实际参数有关，测定系数（R ²）为0.6059，这不仅表明单层WCM优于双层WCM在粒数估计上，而且还表明了潜在的稻米参数。从单个SAR图像估算水稻产量。估计值的比较表明，单层WCM克服了双层WCM中存在的不足。还讨论了该模型的反向散射系数范围。