A study of satellite image fusion

• Main Authors: Wen-Quei Juen, 鄭文貴
• Other Authors: Chao-Jang Hwang.
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/15965612633911738509

碩士 === 元智大學 === 資訊工程學系 === 97 === The IKONOS satellite produce a PAN image (high-resolution panchromatic) and 4 MS images (low-resolution multispectral) simultaneously. In this thesis, an image fusion method is proposed to fuse the PAN and MS images. In the proposed method, not only the edge information in the PAN image but the spectral information in the MS images can be preserved. In the proposed fusion method, ANN (Artificial Neural Network) is used to optimize the fusion parameters which involve the parameter adjustment with BT (Brovey Transform sharpening method) and HIS (intensity-hue-saturation transform method) HIS (intensity-hue-saturation transform method). Based on the simulation results obtained in this study, the proposed fusion method indeed improves the perceptual quality in both edge and spectral information