Attention-Guided Siamese Fusion Network for Change Detection of Remote Sensing Images
Change detection for remote sensing images is an indispensable procedure for many remote sensing applications, such as geological disaster assessment, environmental monitoring, and urban development monitoring. Through this technique, the difference in certain areas after some emergencies can be det...
Enregistré dans:
Auteurs principaux: | Puhua Chen, Lei Guo, Xiangrong Zhang, Kai Qin, Wentao Ma, Licheng Jiao |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/96312b626ccf4a2fbb7f6eaa6b6359d3 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
MRA-SNet: Siamese Networks of Multiscale Residual and Attention for Change Detection in High-Resolution Remote Sensing Images
par: Xin Yang, et autres
Publié: (2021) -
Detection of Schools in Remote Sensing Images Based on Attention-Guided Dense Network
par: Han Fu, et autres
Publié: (2021) -
Biomedical Text Similarity Evaluation Using Attention Mechanism and Siamese Neural Network
par: Zhengguang Li, et autres
Publié: (2021) -
Remote Sensing Image Scene Classification Based on Global Self-Attention Module
par: Qingwen Li, et autres
Publié: (2021) -
Attention_FPNet: Two-Branch Remote Sensing Image Pansharpening Network Based on Attention Feature Fusion
par: Xiwu Zhong, et autres
Publié: (2021)