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Wavelet Spatio-Temporal Change Detection on Multitemporal SAR Images

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Author(s):
Fonseca, Rodney V. ; Negri, Rogerio G. ; Pinheiro, Aluisio ; Atto, Abdourrahmane Mahamane
Total Authors: 4
Document type: Journal article
Source: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING; v. 16, p. 11-pg., 2023-01-01.
Abstract

In 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. (AU)

FAPESP's process: 21/04513-9 - Wavelet feature screening in high dimensional regression models
Grantee:Rodney Vasconcelos Fonseca
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 18/04654-9 - Time series, wavelets and high dimensional data
Grantee:Pedro Alberto Morettin
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 16/24469-6 - Wavelet Funcional Data Analysis: Foundations and Applications
Grantee:Rodney Vasconcelos Fonseca
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 21/01305-6 - Theoretical advances on anomaly detection and environmental monitoring systems building
Grantee:Rogério Galante Negri
Support Opportunities: Regular Research Grants