A new wavelet‐based image fusion method for remotely sensed data
A new wavelet‐based image fusion method for remotely sensed data
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DOI：
10.1080/01431160500474365
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发表时间：
2006-04
影响因子：
3.4
通讯作者：
Yun-hao Chen;Deng Lei;L. Jing;Xiaobing Li;Peijun Shi
中科院分区：
文献类型：
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作者：
Yun-hao Chen;Deng Lei;L. Jing;Xiaobing Li;Peijun Shi
保持光谱特征和保持高空间分辨率是图像融合的两个关键问题。不同的应用程序可能需要两者之间的不同平衡。然而，其局限性在于，对于大多数常用的融合方法，只可能产生一种融合结果；用户无法控制应该保留多少空间细节或光谱信息。采用均值、标准差、熵、平均梯度、光谱失真、相关系数和视觉评价等定量和定性标准对融合器的性能进行了评价。采用SPOT （Satellite Pour l’observation de la Terre）全色图像和Landsat Thematic Mapper （TM）图像进行评价。结果表明，该方法在光谱特征保持和高空间分辨率保持方面略优于或可与常用的图像融合方法相比较，包括强度-色调-饱和度（IHS）、主成分分析（PCA）和其他两种基于替换和选择策略的小波融合方法。此外，该方法可以在光谱特征保持和高空间分辨率保持之间实现大范围的平衡，因此适用于不同的应用。
The preservation of spectral characteristics and the retention of high spatial resolution are two key issues in image fusion. Different applications may require different balances between the two. However, the limitation is that only one fused result is possible for most of the commonly used fusion methods; users have no control over how much spatial detail or spectral information should be retained. Both quantitative and qualitative criteria, including mean, standard deviation, entropy, average gradient, spectral distortion, correlation coefficient and visual assessment, were used to evaluate the performance of the proposed fuser. A SPOT (Satellite Pour l'Observation de la Terre) panchromatic image and Landsat Thematic Mapper (TM) images were employed in the evaluation. The results show that the proposed method is slightly better than, or comparable to, commonly used image fusion methods, including Intensity–Hue–Saturation (IHS), principal component analysis (PCA), and two other wavelet‐based fusion methods with replacement and with selection strategies, in terms of spectral characteristic preservation and high spatial resolution retention. Moreover, the proposed method can achieve a wide range of balances between spectral characteristic preservation and high spatial resolution retention, and thus is applicable in different applications.