Methodology of Data Fusion Using Deep Learning for Semantic Segmentation of Land Types in the Amazon

Methodology of Data Fusion Using Deep Learning for Semantic Segmentation of Land Types in the Amazon

This study proposes a methodology using deep learning and a multi-resolution segmentation algorithm to perform the semantic segmentation of remote sensing images. Initially the image is segmented using a CNN, and then an image with homogeneous regions is generated using a multi-resolution segmentati...

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Bibliographic Details
Main Authors: Joel Parente De Oliveira, Marly Guimaraes Fernandes Costa, Cicero Ferreira Fernandes Costa Filho
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning
convolutional neural networks
remote sensing
image segmentation
Online Access:https://ieeexplore.ieee.org/document/9224624/

Internet

https://ieeexplore.ieee.org/document/9224624/

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