Abstract: Change detection method with multi-temporal satellite images based on Wavelet decomposition with Daubechies wavelet function (Multi Resolution Analysis), and tiling is proposed. The method allows detection of changes in time series analysis and is not sensitive to geometric distortions included in the satellite images. In this paper, the author proposed a method based on MRA as a method for extracting change points from satellite images acquired over many periods. Change detection method with multi-temporal satellite images based on Wavelet decomposition and tiling is proposed. The method allows to detect changes and is not sensitive to geometric distortions included in the satellite images. The experimental results with simulation image and a Landsat Thematic Mapper (TM) image show that more appropriate changes can be detected with the proposed method in comparison with the existing method of subtraction. When applied to simulations and real satellite images, it was confirmed that they were robust to minute nonlinear geometric distortion.

Kohei Arai, “Change Detection Method with Multi-temporal Satellite Images based on Wavelet Decomposition and Tiling” International Journal of Advanced Computer Science and Applications(IJACSA), 12(3), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120307

@article{Arai2021,
title = {Change Detection Method with Multi-temporal Satellite Images based on Wavelet Decomposition and Tiling},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120307},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120307},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {3},
author = {Kohei Arai}
}