Change detection on SAR images time series via machine learning

• Grant number: 23/14505-9
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: November 01, 2023
• End date: October 31, 2024
• Field of knowledge: Physical Sciences and Mathematics - Probability and Statistics - Statistics
• Principal Investigator: Aluísio de Souza Pinheiro
• Grantee: João Pedro Melani Saraiva
• Host Institution: Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated research grant: 23/02538-0 - Time series, wavelets, high dimensional data and applications, AP.TEM

Abstract

Monitoring the environment is an increasingly relevant and demanding area of human knowledge. For this, the development of methods and tools which are at the same time reliable, feasible and escalable are paramount. This project proposes some statistical measures for the characterization of changes on time series of SAR images. The paradigm of such measures is the multi-atribute representation of the Earths surface.

Scientific publications

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

SARAIVA, JOAO PEDRO M.; FONSECA, RODNEY V.; NEGRI, ROGERIO G.; PINHEIRO, ALUISIO. WECS: A wavelet energy correlation screening based method for unsupervised change detection using remote sensing image series. SOFTWARE IMPACTS, v. 24, p. 4-pg., 2025-04-29. (24/01610-1, 23/14505-9, 23/02538-0)