NestNet: a multiscale convolutional neural network for remote sensing image change detection-Reference-Cited by-同舟云学术

NestNet: a multiscale convolutional neural network for remote sensing image change detection

Published:2021-04-06 Issue:13 Volume:42 Page:4898-4921
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Yu Xiao¹,Fan Junfu¹^ORCID,Chen Jiahao¹,Zhang Peng¹,Zhou Yuke²,Han Liusheng¹

Affiliation:

1. School of Civil and Architectural Engineering, Shandong University of Technology, Zibo, China

2. Ecology Observing Network and Modeling Laboratory, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

Funder

National Key Research and Development Program of China

Major Science and Technology Innovation Project of Shandong Province

Young Teacher Development Support Program of Shandong University of Technology

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.1906982

Reference51 articles.

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3. Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and $k$-Means Clustering

4. Daniel, K., and C. Wietfeld. 2011. “Using Public Network Infrastructures for UAV Remote Sensing in Civilian Security Operations.” In 2011 IEEE International Conference on Technologies for Homeland Security(HST), 1–10. Waltham, MA, USA.

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