Road segmentation in SAR/PolSAR images using Convolutional Neural Networks

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Abstract
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Abstract

This project studies Convolutional Neural Networks applied to road segmentation in SAR/PolSAR images, and also the creation of a simulated SAR database to be used in the training of these Neural Networks.

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Institutions
  • 1 Universidade Presbiteriana Mackenzie
Track
  • ST04 - Computer Graphics and Discrete Mathematics
Keywords
SAR
CNN
Neural Networks
Simulated Database
Speckle