Efficient Fusion of ASTER and SRTM Based on Fast Fourier Transform
CHEN Chuan-fa 1, ZHENG Zuo-ya 1, YUE Tian-xiang 2
1.Geomatics College, Shandong University of Science and Technology, Qingdao 266510, China; 2.Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
In order to overcome the deficiency of sampling methods for SRTM and ASTER, the authors constructed a flow chart for SRTM and ASTER efficient fusion, with the DEMs of Dongzhi tableland as an example. Firstly, ASTER and SRTM were respectively transformed from spatial domain to frequency domain in terms of Fast Fourier Transform (FFT). Secondly, the ideal high and low pass filters were respectively employed to remove their low and high frequency errors. Thirdly, the filtered frequency domains were added up. At last, the summed frequency domain was transformed to spatial domain in terms of inverse FFT. The results indicate that, compared with errors of ASTER and SRTM, both the minimum and maximum errors of the fused DEM show an obvious decrease, the RMSE has a weak decrease and the number of the errors bigger than 30 m is much less than that of SRTM and ASTER.
陈传法, 郑作亚, 岳天祥. 基于快速傅里叶变换的ASTER与SRTM有效融合研究[J]. 国土资源遥感, 2010, 22(4): 19-22.
CHEN Chuan-Fa, ZHENG Zuo-Ya, YUE Tian-Xiang. Efficient Fusion of ASTER and SRTM Based on Fast Fourier Transform. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(4): 19-22.
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