【摘要】 结合多时相和全极化SAR数据在地表覆盖分类中的优势,通过融合多时相全极化SAR数据,降低雷达图像上斑点噪声的影响,开展土地覆盖分类研究。以贵州扎佐林场大约12 km×17 km的区域为研究区,使用6个不同时期的RADARSAT-2全极化数据进行地表覆盖分类研究。研究结果表明:不同地物的后向散射机制有很大区别,且对应的后向散射系数随时间的变化规律也各不相同;该方法能有效区分人工建筑、森林、农田和水体等地物,斑点噪声得到有效抑制,图像质量,特别是视觉效果大为改善。更多还原

【Abstract】 With the development of the polarimetric Synthetic Aperture Radar(SAR),the research on the land cover classification using SAR data has developed rapidly.However,the classification accuracy is seriously affected by the speckle noises on the SAR image.A new method combining the advantages of multi temporal SAR data and quad-polarization SAR data is presented in this paper.A method of multitemporal SAR data fusion was used to eliminate the effect of the speckle noises on the SAR image.An area of 12 km×17 km was selected as the test area.6 multi-temporal RADARSAT-2 images were used in this study to conduct the land cover classification.The results show that different land cover types represent different backscattering mechanisms,and the backscattering coefficient value of different land cover types varies as a function of time.Based on the fusion result of multi temporal polarimetric SAR data,the authors fulfilled the land cover classification,and the results show that this method can effectively distinguish such objects as man-made buildings,forests,farms and land and water.The speckle noise is obviously reduced and the visual appearance of the SAR fusion image is obviously improved.更多还原