Deep convolutional neural network with random field model for lake ice mapping from Sentinel-1 imagery-Reference-Cited by-同舟云学术

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Deep convolutional neural network with random field model for lake ice mapping from Sentinel-1 imagery

Published:2021-11-14 Issue:24 Volume:42 Page:9351-9375
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Ma Zhiguo¹,Liu Zihao¹,Pu Jiabin¹,Xu Linlin¹²,Li Kui¹,Wangqu Linglong¹,Wu Rui¹,Ma Yiyi¹,Chen Ye¹,Duguay Claude³

Affiliation:

1. School of Land Science and Technology, China University of Geosciences, Beijing, China

2. Department. of Systems Design Engineering, University of Waterloo, Waterloo, Canada

3. Department. of Geography and Environmental Management, University of Waterloo, Waterloo, Canada

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.1995074

Reference49 articles.

1. An investigation of the textural characteristics associated with gray level cooccurrence matrix statistical parameters

2. Representation Learning: A Review and New Perspectives

3. Fast approximate energy minimization via graph cuts

4. The response and role of ice cover in lake-climate interactions

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sea Ice Extraction via Remote Sensing Imagery: Algorithms, Datasets, Applications and Challenges;Remote Sensing;2024-02-28

2. Advances in lake ice monitoring by remote sensing;Reference Module in Earth Systems and Environmental Sciences;2024

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