Ms. Jing Ma Profile

Jing Ma

at Chang'an Univ

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Proceedings Article | 29 December 2008 Paper

Research on data fusion for monitoring ground subsidence using InSAR

Jing Ma, Qin Zhang, Xianglei Liu, Chaoying Zhao

Proceedings Volume 7285, 72855C (2008) https://doi.org/10.1117/12.815262

KEYWORDS: Image fusion, Data fusion, Interferometric synthetic aperture radar, Image processing, Image information entropy, Principal component analysis, Information fusion, Imaging arrays, Distortion, Remote sensing

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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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