MVAFG: Multiview Fusion and Advanced Feature Guidance Change Detection Network for Remote Sensing Images-Reference-Cited by-同舟云学术

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MVAFG: Multiview Fusion and Advanced Feature Guidance Change Detection Network for Remote Sensing Images

Published:2024 Issue: Volume:17 Page:11050-11068
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:

Zhang Xiaoyang¹^ORCID,Wang Zhuhai¹^ORCID,Li Jinjiang¹^ORCID,Hua Zhen¹^ORCID

Affiliation:

1. School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China

Funder

National Natural Science Foundation of China

Shandong Natural Science Foundation of China

Yantai Science and Technology Innovation development plan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10543043.pdf?arnumber=10543043

Reference46 articles.

1. Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set

2. A near-real-time approach for monitoring forest disturbance using Landsat time series: stochastic continuous change detection

3. Toward a Generalizable Image Representation for Large-Scale Change Detection: Application to Generic Damage Analysis

4. Landslide Recognition by Deep Convolutional Neural Network and Change Detection

5. A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images

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