A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem

Published 2019 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem
Authors
Keywords
Deep learning, Land cover, Wetland, Convolutional Neural Network (CNN), Fully Convolutional Network (FCN), Encoder-decoder, Polarimetric Synthetic Aperture Radar (PolSAR)
Journal
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 151, Issue -, Pages 223-236
Publisher
Elsevier BV
Online
2019-03-29
DOI
10.1016/j.isprsjprs.2019.03.015

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.