Fonseca, Rodney V.Negri, Rogerio G. [UNESP]Pinheiro, AluisioAtto, Abdourrahmane Mahamane2023-07-292023-07-292023-01-01IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 16, p. 4013-4023.2151-15351939-1404http://hdl.handle.net/11449/247255In this article, we introduce the wavelet energies correlation screening (WECS), an unsupervised method to detect spatio-temporal changes on multitemporal SAR images. The procedure is based on wavelet approximation for the multitemporal images, wavelet energy apportionment, and ultrahigh-dimensional correlation screening for the wavelet coefficients. We show WECS's performance on simulated multitemporal image data. We also evaluate the proposed method on a time series of 85 Sentinel-1 images of a forest region at the border of Brazil and French Guiana. Comparisons with well-known change detection methods found in the literature highlight the proposal's superiority in terms of change detection accuracy. Additionally, the introduced method has simple architecture and low computational cost.4013-4023engChange detectionmultitemporal imagesremote sensingsimulated imageswaveletsArtigo10.1109/JSTARS.2023.32686012-s2.0-85153799849