中文摘要：

标准的图像融合方法可能不适用于高分辨率全色图和低分辨率多光谱图，因为谱信息会有偏差，针对这类图像，提出一种基于多分辨小波图像分解的改进算法“a’trous”。采用详细分析标准算法和在“a’trous”算法下的3种融合方式，对SPOT和TM图像进行融合，并将融合后的谱信息保留进行对比和分析。结果显示：小波图像融合方法较标准图像融合方法能保留更多光谱图像的谱信息，从而可以提高图像的可读性和应用价值。

英文摘要：

Standard image fusion method may not be applied to high-resolution panchromatic image and low resolution multi-spectral image, as it will be biased spectral information for these images. Later, improvements on this, a ＂a＇trous＂ algorithm,is proposed in which an effective dyadic wavelet decomposition for image fusion is used. Two algorithms, are analyzed and simulated with the SPOT and TM image . Fusion results are compared and analyzed. The results show that the wavelet image fusion method can retain more spectral information than the standard image fusion method. By using this method the readability and application value of the image can be improved.