测绘工程
測繪工程
측회공정
ENGINEERING OF SURVEYING AND MAPPING
2015年
5期
5-10
,共6页
卜丽静%吴畅%何志博%张正鹏
蔔麗靜%吳暢%何誌博%張正鵬
복려정%오창%하지박%장정붕
图像融合%SAR图像%Contourlet变换%纹理
圖像融閤%SAR圖像%Contourlet變換%紋理
도상융합%SAR도상%Contourlet변환%문리
image fusion%SAR image%Contourlet transform%texture
针对SAR与光学图像的融合问题，提出一种基于SAR图像中纹理特征的Contourlet变换融合方法。利用灰度共生矩阵法提取SAR图像的纹理特征，分析各个纹理特征间的相关性，得到重要纹理特征图。用 HSV变换提取光学图像的强度分量。将重要纹理特征和强度分量利用改进的Contourlet多尺度变换融合，得到新的强度分量。通过HSV逆变换得到SAR与光学的融合图像。利用Landsat8和Cosmo-SkyMed图像进行融合实验，并与小波、HSV、Brovey、Contourlet变换融合方法对比分析，实验表明该方法能够较好的保持光学图像的光谱特征和SAR图像的纹理、强散射特征，增加图像细节信息，提高图像可解译性。
針對SAR與光學圖像的融閤問題，提齣一種基于SAR圖像中紋理特徵的Contourlet變換融閤方法。利用灰度共生矩陣法提取SAR圖像的紋理特徵，分析各箇紋理特徵間的相關性，得到重要紋理特徵圖。用 HSV變換提取光學圖像的彊度分量。將重要紋理特徵和彊度分量利用改進的Contourlet多呎度變換融閤，得到新的彊度分量。通過HSV逆變換得到SAR與光學的融閤圖像。利用Landsat8和Cosmo-SkyMed圖像進行融閤實驗，併與小波、HSV、Brovey、Contourlet變換融閤方法對比分析，實驗錶明該方法能夠較好的保持光學圖像的光譜特徵和SAR圖像的紋理、彊散射特徵，增加圖像細節信息，提高圖像可解譯性。
침대SAR여광학도상적융합문제，제출일충기우SAR도상중문리특정적Contourlet변환융합방법。이용회도공생구진법제취SAR도상적문리특정，분석각개문리특정간적상관성，득도중요문리특정도。용 HSV변환제취광학도상적강도분량。장중요문리특정화강도분량이용개진적Contourlet다척도변환융합，득도신적강도분량。통과HSV역변환득도SAR여광학적융합도상。이용Landsat8화Cosmo-SkyMed도상진행융합실험，병여소파、HSV、Brovey、Contourlet변환융합방법대비분석，실험표명해방법능구교호적보지광학도상적광보특정화SAR도상적문리、강산사특정，증가도상세절신식，제고도상가해역성。
For SAR and optical image fusion problem ,a fusion method based on Contourlet transform for texture characteristics is proposed .Firstly ,texture features are extracted from gray level co-occurrence matrix in SAR image ,then the main texture characteristics are obtained from important texture features by analyzing the correlation between the texture characteristics .Secondly ,intensity component of optical image is extracted through HSV transform algorithm .The new intensity component is given by the use of the fusion method of improved Contourlet multi-scale transform .Lastly ,the fusion of SAR and optical images are finished through HSV inverse transformation .The Landsat8 and Cosmo-SkyMed images are selected as the fusion experiments .And compared with wavelet ,HSV ,Brovey ,Contourlet fusion method , the experiment results show that the texture and strong scattering characteristics of SAR image and optical image spectrum characteristics are kept better ,in w hich the image detail information is increased ,and beneficial to image interpretation .
