论文部分内容阅读
针对我国海洋二号卫星微波散射计(HaiYang-2Scatterometer,HY2-SCAT)数据存在的空间分辨率较低、无法满足对于地球冰冻圈、生物圈探测需求的问题,以其数据拓展应用为目标,开展了微波散射计高分辨率后向散射系数(σ0)图像重构技术仿真研究。采用仿真的方法实现并对比了AART(Additive Algebraic Reconstruction Technique)、MART(Multiplicative Algebraic Reconstruction Technique)、SIR(Scatterometer Image Reconstruction)3种分辨率增强的图像重构算法,得出了AART算法没有噪声抑制能力、MART算法噪声抑制能力较弱、SIR算法具有较强的噪声抑制能力,能更好地重构图像,达到分辨率增强效果的结论。然后采用HY2-SCAT测量L1B数据对结论进行了验证,重构了岛屿的地貌特征,得到了分辨率增强、细节丰富、边界清晰的重构图像;重构后的图像还可以应用于植被、冰盖和台风观测等地球地理学研究领域。
In view of the low spatial resolution of the HaiYang-2Scatterometer (HY2-SCAT) data in our country, it is unable to meet the needs of the cryosphere and biosphere exploration in the Earth. With its data expansion application as the goal, Simulation Research of High Resolution Backscattering Coefficient (σ0) Image Reconstruction Technology of Microwave Scatter. A simulation method is used to compare and contrast three kinds of image reconstruction algorithms with AART (Additive Algebraic Reconstruction Technique), MART (Multiplicative Algebraic Reconstruction Technique) and SIR (Scatterometer Image Reconstruction), and the AART algorithm has no noise suppression , MART algorithm noise suppression ability is weak, SIR algorithm has strong noise suppression ability to better reconstruct the image, to achieve the resolution enhancement effect conclusion. Then, the conclusion is verified by HY2-SCAT measurement of L1B data. The island’s topographic features are reconstructed and reconstructed images with enhanced resolution, rich details and clear boundaries are obtained. The reconstructed images can also be applied to vegetation, ice Cover and typhoon observations and other areas of geography.