Banca de DEFESA: IAN HENRIQUE TELES BRAGA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : IAN HENRIQUE TELES BRAGA
DATE: 08/07/2022
TIME: 15:00
LOCAL: PLATAFORMA GOOGLE MEET
TITLE:

STOCHASTIC SIMILARITY IN SAR IMAGE PROCESSING

KEY WORDS:

SAR images. Stochastic Distances. Stochastic similarity. Change detection.

PAGES: 50
BIG AREA: Outra
AREA: Ciências Ambientais
SUMMARY:

The detection of phenomena on the earth's surface is an important and necessary work, especially when dealing with large-scale phenomena such as oil slicks at sea and deforestation in large-scale forests. However, monitoring these phenomena through optical satellite images brings with it complications in terms of continuity in the generation of images. The Synthetic Aperture Radar, however, presents itself as ideal for monitoring the Earth's surface in a reliable, continuous and global way, since it allows the generation of images with its own light source and with higher resolution than conventional optical systems, in addition to enable its operation regardless of weather conditions. However, the difficulty of working with these images is centered on the interpretation of the imaged data, requiring processing to extract information. This is due to the presence of a stochastic noise that significantly degrades the image. Thus, the use of probability distributions are of fundamental importance in the modeling of these data. In this dissertation, we present a stochastic similarity measure for SAR images that expresses significant gains in terms of information and classification of SAR images, which can be used to monitor, quantify and classify natural disasters on the earth's surface, such as oil spills at high sea, evolution of deforestation of forests, pollution of rivers and lakes.

BANKING MEMBERS:
Externo à Instituição - FIDEL ERNESTO CASTRO MORALES - UFRN
Presidente - 1569439 - FRANCISCO ALIXANDRE AVILA RODRIGUES
Interno - 1751179 - PAULO RENATO ALVES FIRMINO