Synthetic Aperture Radar Image Change Detection via Layer Attention-Based Noise-Tolerant Network-Reference-Cited by-同舟云学术

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Synthetic Aperture Radar Image Change Detection via Layer Attention-Based Noise-Tolerant Network

Published:2022 Issue: Volume:19 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Meng Desen¹,Gao Feng¹^ORCID,Dong Junyu¹^ORCID,Du Qian²^ORCID,Li Heng-Chao³^ORCID

Affiliation:

1. School of Information Science and Engineering, Ocean University of China, Qingdao, China

2. Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, USA

3. Sichuan Provincial Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China

Funder

National Key Research and Development Program of China

Natural Science Foundation of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/9651998/09868351.pdf?arnumber=9868351

Reference17 articles.

1. Transferred Deep Learning for Sea Ice Change Detection From Synthetic-Aperture Radar Images

2. Sea Ice Change Detection in SAR Images Based on Convolutional-Wavelet Neural Networks

3. Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network

4. LCS-EnsemNet: A Semisupervised Deep Neural Network for SAR Image Change Detection With Dual Feature Extraction and Label-Consistent Self-Ensemble

5. Responses of Neurons in Inferior Temporal Cortex During Memory-Guided Visual Search

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