Background Subtraction Based on GAN and Domain Adaptation for VHR Optical Remote Sensing Videos

Background Subtraction Based on GAN and Domain Adaptation for VHR Optical Remote Sensing Videos

The application of deep learning techniques in background subtraction for VHR optical remote sensing videos holds the potential to facilitate multiple intelligent remote sensing processing tasks. However, existing methods on background subtraction for VHR optical remote sensing videos are still faci...

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Bibliographic Details
Main Authors: Wentao Yu, Jing Bai, Licheng Jiao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Background subtraction
generative adversarial networks (GAN)
domain adaptation
very high resolution (VHR) optical remote sensing videos
Online Access:https://ieeexplore.ieee.org/document/9123388/

Internet

https://ieeexplore.ieee.org/document/9123388/

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