小波局部高频替代融合方法

IHS变换是图象融合的经典算法之一。采取IHS变换与小波变换结合的融合算法是近年发展起来的遥感数据融合方法,发挥了IHS和小波两种变换算法的优点。效果比用单一一种方法更显著,提出了小波局部高频替代的融合方法。ETM遥感数据5、4、3波段由IHS盂塞尔彩色空间正变换后的Ⅰ亮度分量,经与全色波段中高能量替代的小波变换,形成一个新的集中了Ⅰ亮度分量和全色波段高频能量的新分量,再通过IHS进行反变换,经过实验,表明此方法可显著提高融合后图象的分辨率,同时又保持了原来多光谱图象的光谱信息。将此方法处理结果用在四川岷江“退耕还林”遥感调查项目中,可以提高土地利用计算精度。

Wavelet High Frequency Substitution Fusion Method

IHS transform was one of typical method for remote sensing data fusion. In resent years, newly developed method that combines advantages of IHS and wavelet algorithms makes image fusion. The result is better than single method implemented. In this paper a high frequency wavelet substitution method is introduced to improve spatial resolutions of the imagery. ETM remote sensing data 543 bands is transformed in IHS munsell color space and then I intensity was produced. Using high energy in PAN image substitutes I high energy by using wavelet. A new image is prodeced which combines both information PAN and I. Finally the new image as I' to finish IHS inverse transformation. The test result is proved that the resolution was greatly improved comparing original 543 composite in spatial resolution while keeps multi|spectral resolution. In cooperating with the demand of on going Minjiang river retum farmland into grassland project, Si Chuan, China, A 15m resolution PAN band and 30m resolution 3 bands of ETM data were selected for the method testing. Improved imagery raised the quality for monitoring land cover and land use change monitoring.