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HDFNet: Hierarchical Dynamic Fusion Network for Change Detection in Optical Aerial Images
2021
Remote Sensing
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To deal with these problems, we design a hierarchical dynamic fusion network (HDFNet) to implement the optical aerial image-change detection task. ...
Accurate change detection in optical aerial images by using deep learning techniques has been attracting lots of research efforts in recent years. ...
Conclusions In this paper, an HDFNet is proposed to conduct the optical aerial images change detection. ...
doi:10.3390/rs13081440
fatcat:ox2oot42pjcybpgehvbwst56ei
MAFF-Net: Multi-Attention Guided Feature Fusion Network for Change Detection in Remote Sensing Images
2022
Sensors
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
One of the most important tasks in remote sensing image analysis is remote sensing image Change Detection (CD), and CD is the key to helping people obtain more accurate information about changes on the ...
A Multi-Attention Guided Feature Fusion Network (MAFF-Net) for CD tasks has been designed. The network enhances feature extraction and feature fusion by building different blocks. ...
In addition, in 2021, HDFNet [47] uses the idea of a hierarchical fusion and dynamic convolution model to obtain a fine feature map. ...
doi:10.3390/s22030888
pmid:35161634
pmcid:PMC8838741
fatcat:jdcd3sjyjrdhvhso3lb3anwvei
An Efficient Lightweight Neural Network for Remote Sensing Image Change Detection
2021
Remote Sensing
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Remote sensing (RS) image change detection (CD) is a critical technique of detecting land surface changes in earth observation. ...
Deep learning (DL)-based approaches have gained popularity and have made remarkable progress in change detection. ...
[34] proposed a hierarchical network, called HDFNet, which introduces dynamic convolution modules into decoding stages for emphasizing feature fusion. ...
doi:10.3390/rs13245152
fatcat:jilyf52avjg27kzw3rttytumom