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

Author:

Wang Yanheng,Gao Lianru,Hong Danfeng,Sha Jianjun,Liu Lian,Zhang Bing,Rong Xianhui,Zhang Yonggang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference41 articles.

1. Unsupervised change-detection based on convolutional-autoencoder feature;Bergamasco;Extraction,2019

2. Multitask learning for large-scale semantic change detection;Caye Daudt;Comput. Vis. Image Underst.,2019

3. A spatial-temporal attention-based method and a new dataset for remote sensing image change detection;Chen;Remote Sens.,2020

4. Land-use/land-cover change detection using improved change-vector analysis;Chen;Photogramm. Eng. Remote Sensing,2003

5. Semantic image segmentation with deep convolutional nets and fully connected CRFs;Chen;3rd Int. Conf. Learn. Represent. ICLR 2015 – Conf. Track Proc.,2015

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