Wavelets and statistics for change detection on SAR/POLSAR images

• Grant number: 22/02273-3
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: April 01, 2022
• End date: April 11, 2023
• Field of knowledge: Physical Sciences and Mathematics - Probability and Statistics - Statistics
• Principal Investigator: Aluísio de Souza Pinheiro
• Grantee: Maia de Souza Ugarte
• Host Institution: Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated research grant: 18/04654-9 - Time series, wavelets and high dimensional data, AP.TEM
• Associated scholarship(s): 22/06564-2 - Wavelet change detection of urban areas on multi-temporal satellite images, BE.EP.IC

Abstract

We aim the development of a self-contained software for the identification and proper measurement of changes in multi-temporal SAR/POLSAR satellite images. The idea is to build a structure that integrates experts from several areas interested in change detection with statistics experts, which can provide novel data analysis' methodologies. The candidate will use her expertise in app programming as well as her training in statistical methods to develop such a statistical analysis tool. Some existing statistical methods for noise reduction, segmentation, and change detection will be thoroughly studied and included. Most will be based on wavelet representation of images, given its balance between numerical and technical efficiency. At the end of the research project, the user-friendly computer software will be available for free use. Later on, new methodologies may be added.(AU)