Building Extraction From Very High-Resolution Remote Sensing Images Using Refine-UNet-Reference-Cited by-同舟云学术

Building Extraction From Very High-Resolution Remote Sensing Images Using Refine-UNet

Author:

Qiu Weiyan¹^ORCID,Gu Lingjia¹^ORCID,Gao Fang²^ORCID,Jiang Tao³

Affiliation:

1. College of Electronic Science and Engineering, Jilin University, Changchun, China

2. Chang Guang Satellite Technology Company Ltd., Changchun, China

3. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China

Funder

Project of Jilin Province Development and Reform Commission

Technological Research and Development Projects of Jilin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

Reference18 articles.

1. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comput -Assist Intervent,2015

3. Rethinking atrous convolution for semantic image segmentation;chen;arXiv 1706 05587,2017

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