一种全极化高分SAR与中分光学影像融合方法

发布时间：2018-01-23 23:35

本文关键词： 全极化SAR 中分光学影像影像融合主成分分析 HSV变换　出处：《热带海洋学报》2017年02期 　论文类型：期刊论文

【摘要】：针对全极化SAR(synthetic aperture radar,合成孔径雷达)与中分光学影像的融合问题,提出基于主成分分析(PCA)与HSV(hue,saturation,value,色调、饱和度、明度)色彩空间变换的遥感影像融合方法。对全极化SAR四个极化波段进行主成分分析,提取第一主成分,将中分光学影像变换到HSV空间,第一主成分替换V分量,用新的V分量逆变换到RGB空间,得到全极化SAR与中分光学的融合影像。通过利用Radarsat-2全极化SAR与TM/ETM+中分光学影像开展融合实验,结果表明,该方法优于传统融合方法(PCA变换、HSV变换、小波变换等)的单极化SAR与光学影像融合结果,能够有效利用全极化SAR的纹理信息,提高影像解译能力。
[Abstract]:This paper aims at the fusion of fully polarized SAR(synthetic aperture radar (SAR) and middle optical image. Based on principal component analysis (PCA) and HSV huegna saturationvalue, hue and saturation were proposed. Image fusion method of color space transformation. The four polarimetric bands of fully polarized SAR were analyzed by principal component analysis, the first principal component was extracted, and the middle partition optical image was transformed into HSV space. The first principal component replaces the V component, and the new V component is inversely transformed into RGB space. The fusion images of fully polarized SAR and middle division optics are obtained. The fusion experiments are carried out by using Radarsat-2 fully polarized SAR and TM/ETM partial optical images, and the results show that the fusion experiments are carried out. This method is superior to the traditional fusion method, such as PCA transform, wavelet transform and so on. It can utilize the texture information of fully polarized SAR effectively. Improve the ability of image interpretation.
【作者单位】：中国石油大学(华东)地球科学与技术学院;国家海洋局第一海洋研究所;
【基金】：山东省自然科学基金项目(ZR2016DM16) 国防科技工业局高分辨率对地观测系统重大专项“海岸带遥感监测与应用示范” 中国石油化工集团科技攻关项目“航测与遥感技术在管线检测中的应用研究”~~
【分类号】：P237
【正文快照】： 热带区域多受云雾影响,云雾遮挡严重,不易获取高分辨率卫星光学影像。合成孔径雷达技术(synthetic aperture radar,SAR)能够穿透云雾,不受天气影响,成为海岸带遥感监测的重要数据源,但缺乏光谱信息。中等分辨率光学卫星影像相对易于获取,能够提供地物的光谱信息,但空间分辨率

【相似文献】