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Abstract. It is of great value to fuse a high-resolution panchromatic image and low-resolution multi-spectral images for object recognition. In the paper, tow frames of remotely sensed imagery, including ZY03 and SPOT05, are selected as the source data. Four fusion methods, including Brovey, PCA, Pansharp, and SFIM, are used to fuse the images of multispectral bands and panchromatic band. Three quantitative indicators were calculated and analyzed, that is, gradient, correlation coefficient and deviation. According to comprehensive evaluation and comparison, the best effect is SFIM transformation, combined with fusion image through four transformation methods.
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Zhu Han
University of Stuttgart
Xinming Tang
Xiaoming Gao
The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Lanzhou Jiaotong University
National Administration of Surveying, Mapping and Geoinformation of China
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Han et al. (Fri,) studied this question.
synapsesocial.com/papers/6a1797973275b64d0e6edee0 — DOI: https://doi.org/10.5194/isprsarchives-xl-7-w1-33-2013