Desenvolvimento de um sistema de recepção de imagens de satélite meteorológico e correção automática das imagens tipo LRPT

• Ano de defesa: 2018
• Autor(a) principal: Flores, Rodrigo Dias
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Santa Maria; Brasil; Ciência da Computação; UFSM; Programa de Pós-Graduação em Ciência da Computação; Centro de Tecnologia
• Palavras-chave em Português: Sensoriamento remoto; Retoque digital; LRPT; RTL-SDR; GNU radio; Remote sensing; Inpainting; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://repositorio.ufsm.br/handle/1/14903

This study presents the design of a ground station capable of tracking, demodulating and decoding image signals from the Meteor-M N2 Russian weather satellite in the Low-rate Picture Transmission (LRPT) format. The proposed solution presents the construction of a QFH antenna, the use of software-defined radio (RTL-SDR) and a personal computer that decodes the images using programs and the GNU Radio Companion platform. A set of improvements and image enhancements is proposed, such as, restoration based on inpainting, contrast enhancement and RGB image composition. The automation is performed by a set of scripts implemented in the Python programming language that also identifies the damaged regions of the LRPT images automatically. Finally, two methods of image quality assessment, the Mean Squared Error and the Structural Similarity Index are applied to the raw and restored LRPT image sets, and used to assess the performance obtained with the techniques considered in this study.