Response of Fusion Images to Wavelet Decomposition Levels of Integration of Wavelet Transform and IHS with Multiple Sources Remotely Sensed Data
IHS和小波变换结合多源遥感影像融合质量对小波分解层数的响应

Due to rapid development of remote sensing technology and worldwide application of remotely sensed data, image fusion is an effective way to incorporate data from different remote sensors to create an improved image containing much more spectral and spatial details, and could be used to facilitate visually interpreting of remotely sensed imagery or subsequent mechanism analysis. It has been proved that better fusion images, which contain the spatial information of the panchromatic data and details of the multispectral, might be produced by the integration of wavelet transform with IHS. But the influence of some important parameters has been neglected in the practice of integration, such as levels of wavelet decomposition. Most commercially remote sensor data are composed of hundreds and millions pixels with a number of bands. Thus, the applicability of research conclusions has previously been suspicious. Therefore it is helpful to have a deep study to explore those questions.