Fusion of MODIS time-series images and TM image based on wavelet transform

Xiaohe Gu; Xin He; Wei Guo

doi:10.1117/12.902125

23 November 2011 Fusion of MODIS time-series images and TM image based on wavelet transform

Xiaohe Gu, Xin He, Wei Guo

Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80061A (2011) https://doi.org/10.1117/12.902125
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

The fusion method for the wide range resolution images will contribute to take the advantage of high time-resolution of MODIS data and high spatial-resolution of TM data, which will provide the time-series information matching the crop growth. The paper test the wavelet transform model from wavelet basis, decomposition level and fusion rule. By evaluating the quality of fusion images from several indexes, the paper analyzed the impact of fusion quality of MODIS and TM images from the parameter setting of wavelet transform. According to the comparison of many experiments, the study chose decomposition level 4, BIOR 6.8 of wavelet basis and high-replace-low of fusion rule. The study showed that the fusion method of wavelet transform could reserve the spectral feature of time-series information and enhance the spatial resolution from 250 meter to 30 meter. The time-series fusing images could be applied for crop monitoring.

Citation Download Citation

Xiaohe Gu, Xin He, and Wei Guo "Fusion of MODIS time-series images and TM image based on wavelet transform", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80061A (23 November 2011); https://doi.org/10.1117/12.902125

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