Siamese Meets Diffusion Network: SMDNet for Enhanced Change Detection in High-Resolution RS Imagery-Reference-Cited by-同舟云学术

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Siamese Meets Diffusion Network: SMDNet for Enhanced Change Detection in High-Resolution RS Imagery

Published:2024 Issue: Volume:17 Page:8189-8202
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Jia Jia¹^ORCID,Lee Geunho²^ORCID,Wang Zhibo³^ORCID,Lyu Zhi³^ORCID,He Yuchu⁴^ORCID

Affiliation:

1. Department of Culture Technology (Artificial Intelligence Direction), Jeonju University, Jeonju, South Korea

2. Department of Artificial Intelligence, Jeonju University, Jeonju, South Korea

3. Department of Graduate School of Artificial Intelligence, Jeonju University, Jeonju-si, South Korea

4. Department of Information Science and Technology College, Zhengzhou Normal University, Zhengzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10490098.pdf?arnumber=10490098

Reference71 articles.

1. Evaluation of the Landsat-Based Canadian Wetland Inventory Map Using Multiple Sources: Challenges of Large-Scale Wetland Classification Using Remote Sensing

2. Hyperspectral Classification via Global-Local Hierarchical Weighting Fusion Network

3. An Empirical Study of the Convolution Neural Networks Based Detection on Object With Ambiguous Boundary in Remote Sensing Imagery—A Case of Potential Loess Landslide

4. Comparative Study of Real-Time Semantic Segmentation Networks in Aerial Images During Flooding Events

5. Multispectral Crop Yield Prediction Using 3D-Convolutional Neural Networks and Attention Convolutional LSTM Approaches

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