2021/03/26 by Rodney V. Fonseca, Fonseca, Rodney, Aluísio Pinheiro +3
Computer Science · Earth and Planetary Sciences · Engineering · #62G05 #62P99 #Applications (stat.AP) #FOS: Computer and information sciences #G.3 #Geochemistry and Geologic Mapping #I.4.9 #Remote Sensing and Land Use #Remote-Sensing Image Classification
paper · pdf · doi:10.48550/arxiv.2103.14444
openalex publication_date 2021/03/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We introduce WECS (Wavelet Energies Correlation Sreening), an unsupervised sparse procedure to detect spatio-temporal change points on multi-temporal SAR (POLSAR) images or even on sequences of very high resolution images. The procedure is based on wavelet approximation for the multi-temporal images, wavelet energy apportionment, and ultra-high dimensional correlation screening for the wavelet coefficients. We present two complimentary wavelet measures in order to detect sudden and/or cumulative changes, as well as for the case of stationary or non-stationary multi-temporal images. We show WECS performance on synthetic multi-temporal image data. We also apply the proposed method to a time series of 85 satellite images in the border region of Brazil and the French Guiana. The images were captured from November 08, 2015 to December 09 2017.