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SAR与光学影像融合增强方法和效果分析
引用本文:万剑华,于彬,崔丽丽,刘善伟,任广波.SAR与光学影像融合增强方法和效果分析[J].海洋测绘,2017(1):26-29.
作者姓名:万剑华  于彬  崔丽丽  刘善伟  任广波
作者单位:;1.中国石油大学(华东)地球科学与技术学院;2.青岛经济技术开发区规划测绘事务所;3.国家海洋局第一海洋研究所
基金项目:山东省自然科学基金(ZR2016DM16);高分专项海岸带遥感监测与应用示范
摘    要:基于Radarsat-2全极化SAR、GF-1多光谱、Landsat-8多光谱影像,利用PCA变换、HSV变换等方法,分析了同空间分辨率的SAR与光学全色影像的信息量,并评价了其分别与Landsat-8多光谱影像的融合结果。结果表明:全极化SAR影像较全色影像的亮度高,图像标准差、信息熵及平均梯度总体趋于一致,信息量相当;融合影像目视效果相近,且SAR融合影像较光学融合影像包含的信息量更为丰富,利用高分全极化SAR影像替代光学全色影像开展海岸带遥感监测是可行的。

关 键 词:海岸带监测  全极化SAR  高分光学影像  影像融合  质量评价

SAR and Optical Image Fusion Enhancement Method and Effect Analysis
WAN Jianhu,YU Bin,CUI Lili,LIU Shanwei,REN Guangbo.SAR and Optical Image Fusion Enhancement Method and Effect Analysis[J].Hydrographic Surveying and Charting,2017(1):26-29.
Authors:WAN Jianhu  YU Bin  CUI Lili  LIU Shanwei  REN Guangbo
Institution:School of Geosciences,China University of Petroleum,Qingdao 266580 ,China;Qingdao Economic& Development Area Planning Surveying and Mapping Office,Qingdao 266555 ,China; First Institute of Oceanography,State Oceanic Administration,Qingdao 266061 ,China
Abstract:In this paper,based on Radarsat-2 full-polarization SAR,GF-1 multispectral and Landsat-8 multispectral images,we analyze the information content of the SAR and panchromatic images with the same spatial resolution,and evaluate results respectively fused with Landsat-8 multispectral image,using PCA and HSV method.The results show that the brightness of polarization SAR images is higher than panchromatic images.The standard deviation,information entropy,average gradient and amount of information tend to be consistent.Fusion images have similar visual effects,and the SAR fusion image contains more information than the optical fusion image.So the use of high polarization SAR images instead of optical panchromatic image in the coastal remote sensing monitoring is feasible.
Keywords:
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