Classification of fully polarimetric SAR images using the finite mixture models with semi-supervised learning and bayesian inference

• Grant number: 09/14270-4
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: January 01, 2010
• End date: December 31, 2012
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Nelson Delfino d'Ávila Mascarenhas
• Grantee: Michelle Matos Horta Tenca
• Host Institution: Centro de Ciências Exatas e de Tecnologia (CCET). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

HORTA, MICHELLE M.; MASCARENHAS, NELSON D. A.; SPORTOUCHE, H.; SEICHEPINE, N.; TUPIN, F.; NICOLAS, J. -M.; IEEE. CHANGE DETECTION IN MULTITEMPORAL HR SAR IMAGES: A HYPOTHESIS TEST-BASED APPROACH. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), v. N/A, p. 4-pg., 2012-01-01. (09/14270-4)