Astronomical Image Processing and Analysis

• Grant number: 25/19572-1
• Support Opportunities: Regular Research Grants
• Start date: January 01, 2026
• End date: December 31, 2026
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Nina Sumiko Tomita Hirata
• Grantee: Nina Sumiko Tomita Hirata
• Host Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• City of the host institution: São Paulo
• Associated research grant: 22/15304-4 - Learning context rich representations for computer vision, AP.TEM

Abstract

Photometric telescopes capture images of large areas of the sky, containing thousands of astronomical objects. One of the important and still very challenging tasks in processing these images is classifying objects according to their nature. This project aims to develop deep learning-based approaches for object recognition in these images, in collaboration with astronomy researchers. It is expected that greater agility and accuracy in object detection will positively impact scientific advancement in astrophysics. (AU)