Polarimetric SAR Despeckling With Convolutional Neural Networks-Reference-Cited by-同舟云学术

Polarimetric SAR Despeckling With Convolutional Neural Networks

Published:2022 Issue: Volume:60 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Tucker David^ORCID,Potter Lee C.^ORCID

Funder

Industrial and Government Membership Fees to the Center for Surveillance Research, a National Science Foundation Industry- University Cooperative Research Center (IUCRC).

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

https://ieeexplore.ieee.org/ielam/36/9633014/9714282-aam.pdf

Reference72 articles.

1. Four-component scattering model for polarimetric SAR image decomposition

2. L-band polarimetric AIR/Pi-SAR images around Niigata City

3. MatConvNet

4. Deep speckle noise filtering

5. Complex-valued convolutional neural networks for real-valued image classification

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