Mask DeepLab: End-to-end image segmentation for change detection in high-resolution remote sensing images

Mask DeepLab: End-to-end image segmentation for change detection in high-resolution remote sensing images

Traditional change detection (CD) algorithms cannot meet the requirements of today’s high resolution remote sensing images (HR). Recently, deep learning-based CD has become a popular research topic. However, there are not many annotated samples for training deep learning (DL) models. Patch-based alg...

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Bibliographic Details
Main Authors: Yanheng Wang, Lianru Gao, Danfeng Hong, Jianjun Sha, Lian Liu, Bing Zhang, Xianhui Rong, Yonggang Zhang
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Autoencoder
Change detection (CD)
DeepLabV3+
High-resolution remote sensing images (HR)
Mask
Online Access:http://www.sciencedirect.com/science/article/pii/S0303243421002890

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http://www.sciencedirect.com/science/article/pii/S0303243421002890

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