Cloud detection for satellite cloud images based on fused FCN features-Reference-Cited by-同舟云学术

Cloud detection for satellite cloud images based on fused FCN features

Published:2022-05-03 Issue:7 Volume:13 Page:683-694
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Zhang Haodong¹,Wang Yu²,Yang Xingli¹

Affiliation:

1. School of Mathematical Sciences, Shanxi University, Taiyuan, China

2. School of Modern Educational Technology, Shanxi University, Taiyuan, China

Funder

National Natural Science Foundation of China

Shanxi Applied Basic Research Program

Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, ECNU

Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2022.2071114

Reference20 articles.

1. Chen, L. C., G. Papandreou, F. Schroff, and H. Adam. 2017. “Rethinking Atrous Convolution for Semantic Image Segmentation.” [Online]. https://arxiv.org/abs/1706.05587.

2. Color-Based Segmentation of Sky/Cloud Images From Ground-Based Cameras

3. Parsing floor plan images

4. CDnetV2: CNN-Based Cloud Detection for Remote Sensing Imagery With Cloud-Snow Coexistence

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