Transfer Learning With CNNs for Segmentation of PALSAR-2 Power Decomposition Components

Transfer Learning With CNNs for Segmentation of PALSAR-2 Power Decomposition Components

Water/ice/land region segmentation is an important task for remote sensing, as it analyses the occurrence of water or ice on the earth's surface. Many previous deep learning researches effectively utilized multispectral satellite images for highly accurate water/ice/land region segmentation. Ho...

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Bibliographic Details
Main Authors: Poliyapram Vinayaraj, Ryu Sugimoto, Ryosuke Nakamura, Yoshio Yamaguchi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
ALOS PALSAR-2
convolutional neural network (CNN)
deep learning
full-polarimetry
multispectral
synthetic aperture radar (SAR)
Online Access:https://ieeexplore.ieee.org/document/9224151/

Internet

https://ieeexplore.ieee.org/document/9224151/

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