Superresolution remote sensing image processing algorithm based on wavelet transform and interpolation

Hongjiu Tao; Xinjian Tang; Jian Liu; Jinwen Tian

doi:10.1117/12.468078

11 June 2003 Superresolution remote sensing image processing algorithm based on wavelet transform and interpolation

Hongjiu Tao, Xinjian Tang, Jian Liu, Jinwen Tian

Proceedings Volume 4898, Image Processing and Pattern Recognition in Remote Sensing; (2003) https://doi.org/10.1117/12.468078
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

According to characteristic of image wavelet transform and interpolation, this paper proposes a remote sensing image interpolation method combining wavelet transform and interpolation algorithm, which can improve the remote sensing image resolution. Experiments show that the algorithm can properly retain abundant high frequency information in original remote sensing image. After interpolation processing and wavelet reconstruction, we can obtain a remote sensing image with higher resolution, better visual effect, higher Signal Noise Ratio (SNR), more detail information and no apparent warp. Therefore, this algorithm is an effective method of super-resolution remote sensing image processing.

Citation Download Citation

Hongjiu Tao, Xinjian Tang, Jian Liu, and Jinwen Tian "Superresolution remote sensing image processing algorithm based on wavelet transform and interpolation", Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); https://doi.org/10.1117/12.468078

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