CAJ | 학술논문

在遥感影像融合过程中，为了更好地避免经典IHS算法造成的光谱扭曲，文章提出了一种基于统计特性的IHS和提升小波结合的影像融合方法。该方法对小波变换后的1分量和高分辨率影像的高频和低频系数，根据不同的区域统计特性分别选取不同的融合策略进行融合，然后进行小波逆变换和色彩空间转化，得到融合影像。实验表明，此方法与IHS变换、高通滤波法和小波变换等传统算法相比，在提高多光谱影像空间分辨率的同时，能更好地保持影像的光谱质量。
재요감영상융합과정중，위료경호지피면경전IHS산법조성적광보뉴곡，문장제출료일충기우통계특성적IHS화제승소파결합적영상융합방법。해방법대소파변환후적1분량화고분변솔영상적고빈화저빈계수，근거불동적구역통계특성분별선취불동적융합책략진행융합，연후진행소파역변환화색채공간전화，득도융합영상。실험표명，차방법여IHS변환、고통려파법화소파변환등전통산법상비，재제고다광보영상공간분변솔적동시，능경호지보지영상적광보질량。
In the process of remote sensing image fusion,we put forward an image fusion algorithm based on statistical character IHS transform and enhancing wavelet transform to avoid spectrum deformation caused by conventional IHS transform. The above IHS method chooses different strategy to fuse I components after wavelet transform and high frequency coefficient and low frequency coefficient of high resolution image according to different region statistical character and makes inverse wavelet transform and color space transform to obtain fusion image. Our experiments show that the IHS method can keep a better spectrum quality and higher spatial resolution of multispectral than traditional algorithm such as IHS transform high -pass filtering method and wavelet transform.