Smoothing Filter-based Intensity Modulation: a spectral preserve image fusion technique for improving spatial details
Smoothing Filter-based Intensity Modulation: a spectral preserve image fusion technique for improving spatial details
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DOI：
10.1080/014311600750037499
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发表时间：
2000-12-01
影响因子：
3.4
通讯作者：
Liu, JG
中科院分区：
文献类型：
--
作者：
Liu, JG
图像融合技术被广泛用于将低空间分辨率的多光谱图像与高空间分辨率的全色图像进行融合，如Thematic Mapper （TM）多光谱波段和SPOT全色图像。然而，现有的技术要么无法避免图像频谱特性的扭曲，要么涉及复杂且耗时的频率分解和重建处理。基于简化的太阳辐射和地表反射模型，提出了一种简单的光谱保存融合技术：基于平滑滤波的强度调制（SFIM）。通过使用高分辨率图像与其低通滤波图像（带有平滑滤波器）之间的比率，可以将空间细节调制到共配准的低分辨率多光谱图像，而不会改变其光谱特性和对比度。该技术可用于提高彩色复合材料或单个波段的空间分辨率。通过对西班牙东南部的TM和SPOT全色图像进行图像融合实验，令人信服地证明了SFIM对光谱特性的保真度和空间纹理质量。通过与HSI和Brovey变换技术的视觉评价和统计分析，验证了SFIM是一种改善多光谱图像空间细节并可靠地保留其光谱特性的优越融合技术。
Image fusion techniques are widely used to integrate a lower spatial resolution multispectral image with a higher spatial resolution panchromatic image, such as Thematic Mapper ( TM) multispectral band and SPOT Panchromatic images. However, the existing techniques either cannot avoid distorting the image spectral properties or involve complicated and time-consuming frequency decomposition and re-construction processing. A simple spectral preserve fusion technique: the Smoothing Filter-based Intensity Modulation (SFIM) has thus been developed based on a simplified solar radiation and land surface reflection model. By using a ratio between a higher resolution image and its low pass filtered (with a smoothing filter) image, spatial details can be modulated to a co-registered lower resolution multispectral image without altering its spectral properties and contrast. The technique can be applied to improve spatial resolution for either colour composites or individual bands. The fidelity to spectral property and the spatial textural quality of SFIM are convincingly demonstrated by an image fusion experiment using TM and SPOT Panchromatic images of south-east Spain. The visual evaluation and statistical analysis compared with HSI and Brovey transform techniques confirmed that SFIM is a superior fusion technique for improving spatial detail of multispectral images with their spectral properties reliably preserved.