Concatenated Deep-Learning Framework for Multitask Change Detection of Optical and SAR Images

Concatenated Deep-Learning Framework for Multitask Change Detection of Optical and SAR Images

Optical and synthetic aperture radar (SAR) images provide complementary information to each other. However, the heterogeneity of same-ground objects brings a large difficulty to change detection (CD). Correspondingly, transformation-based methods are developed with two independent tasks of image tra...

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Bibliographic Details
Main Authors: Zhengshun Du, Xinghua Li, Jianhao Miao, Yanyuan Huang, Huanfeng Shen, Liangpei Zhang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Change detection (CD)
deep learning
generative adversarial network (GAN)
multitask network
optical and synthetic aperture radar (SAR) images
Online Access:https://ieeexplore.ieee.org/document/10321666/

Internet

https://ieeexplore.ieee.org/document/10321666/

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