Feature-Guided Multitask Change Detection Network

Feature-Guided Multitask Change Detection Network

Change detection is the discovery of changes in remote sensing images of the same region obtained at different times. Change detection algorithms based on deep neural networks have significant advantages over the traditional algorithms on high-resolution images. State-of-the-art (SOTA) change detect...

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Bibliographic Details
Main Authors: Yupeng Deng, Jiansheng Chen, Shiming Yi, Anzhi Yue, Yu Meng, Jingbo Chen, Yi Zhang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Change detection (CD)
contrastive loss
convolutional neural network (CNN)
feature guided
multitask learning (MTL)
Online Access:https://ieeexplore.ieee.org/document/9928215/

Internet

https://ieeexplore.ieee.org/document/9928215/

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