Interferometric Synthetic Aperture Radar (InSAR) magtitude map, extracted from Differential- Interferometric
Syntheric Aperture Radar (D-InSAR) technology, has a low-resolution, so it has a certain limitation to the explanation
and analysis of subsiding area. In order to solve the problem of lacking enough spatial information of D-InSAR image, in
this essay we take a data fusion between D-InSAR image and high resolution Remote Sensing (RS) image, obtaining an
image containing subsiding information and high-resolution spatial information. This paper mainly focuses on the study
of a Mag-Phase algorithm (MPH) algorithm and other fusion algorithms including Hue-Intensity-Saturation (HIS)
transformation, Principal Component Analysis (PCA) transformation, Product fusion, Ratio fusion, Wavelet fusion for
magtitude map and deformation map, and we take the deformation map and panchromatic (PAN) image of Enhanced
Thematic Mapper + (ETM+) (magtitude map) of Xi'an area as an example to do data fusion according to the algorithms
above. At last, a comprehensive evaluation and analysis for fusion images is made with subjective and objective
evaluation criteria, and a conclusion that MPH fusion algorithm is better than others is also obtained.
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