自适应多尺度几何分析的全色和多光谱图像融合方法研究

为了利用全色和多光谱图像融合得到一幅空间分辨率较高和光谱信息丰富的遥感图像。结合窗口空间频率绝对值最大原则的高频条带波系数融合规则, 提出一种基于自适应多尺度几何分析变换的融合方法。利用 Landsat-7数据进行试验, 得到一幅空间分辨率和光谱信息都较好的融合图像。和轮廓波方法、IHS、小波变换方法进行比较, 本方法提高融合图像的质量, 图像的边缘细节更明显清晰。

Abstract

This study aims to obtain a remote sensing image with high spatial resolution and rich spectral information by fusing panchromatic and multispectral images. A fusion method based on the adaptive multi-scale geometric analysis transform is proposed, which combines the fusion rule of high frequency band wave coefficients based on the principle of maximum absolute value of window space frequency. Using Landsat-7 data, a fusion image with better spatial resolution and spectral information was obtained. The proposed method had provided fused images with improved quality and clearer edge details, compared with the contour wave, IHS, and wavelet transform methods.

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朱卫东, 王虎, 邱振戈, 栾奎峰, 韩震. 自适应多尺度几何分析的全色和多光谱图像融合方法研究[J]. 红外技术, 2019, 41(9): 852. ZHU Weidong, WANG Hu, QIU Zhenge, LUAN Kuifeng, HANG Zhen. Fusion of Panchromatic and Multispectral Images Based on Adaptive Multiscale Geometric Analysis Method[J]. Infrared Technology, 2019, 41(9): 852.

自适应多尺度几何分析的全色和多光谱图像融合方法研究

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