A New Classification Approach with Deep Mask R-CNN for Synthetic Aperture Radar Image Segmentation

A New Classification Approach with Deep Mask R-CNN for Synthetic Aperture Radar Image Segmentation

In this paper, a hybrid classification approach which is combined with a more deep mask region-convolutional neural network and sparsity driven despeckling algorithm is proposed for synthetic aperture radar (SAR) image segmentation instead of the classical segmentation methods. In satellite technolo...

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Bibliographic Details
Main Authors: Ridvan Yayla, Baha Sen
Format: Article
Language:English
Published: Kaunas University of Technology 2020-12-01
Series:Elektronika ir Elektrotechnika
Subjects:
image segmentation
neural networks
radar imaging
synthetic aperture radar
Online Access:https://eejournal.ktu.lt/index.php/elt/article/view/25849

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