衛星影像融合技術目的是將高頻譜解析度的多頻譜影像與高空間解析度的全色域影像融合為一張高空間解析度並且高頻譜解析度的影像。在本論文中，我們提出一個兩階段式的衛星影像融合(也稱作全色態銳化)演算法，首先，將超解析技術應用於多光譜影像上，利用多光譜影像之間的關係性以及多光譜影像與全色域影像之間的結構關聯性，提高多光譜影像的解析度。接著，基於Intensity-Hue-Saturation的衛星影像融合方法，利用多元線性回歸計算出多光譜影像的強度部分，並且根據全色域影像的邊緣，使用全色域影像取代多光譜影像的強度部分，因此在地表平滑部分，如水池、建物屋頂等等，可避免加入過多的細節以及雜訊。由實驗結果顯示，本研究所提出的方式確實能增進影像的視覺品質並且減少不自然的現象。

Pansharpening is the technique that fuses high spectral resolution multispectral (MS) images and a high spatial resolution panchromatic (PAN) image to create a high spatial and high spectral resolution fused image. In this Thesis, a two-phase pansharpening algorithm is proposed. First, the spatial resolution of MS images is up-scaled by super-resolution technique with the relationship between the PAN and MS images. Second, the algorithm based on the Intensity-Hue-Saturation method, and the intensity component is estimated by multiple linear regression between the PAN and MS images. The intensity component is replaced by the PAN image according to edge strength. Thus, the fused result can avoid injecting excessive details and noise in the flat area of land surface, such as pools and roofs. The experiment results show that the proposed algorithm achieves better visual quality and less artifact.

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