ACLNet: an attention and clustering-based cloud segmentation network
Author:
Affiliation:
1. CKM VIGIL Pvt Ltd, Hyderabad, India
2. CSE Department, IIT, Hyderabad, India
3. CSE Department, Vishwakarma Institute of Information Technology, Pune, India
4. Mehta Family School of Data Science and Artificial Intelligence, IIT, Roorkee, India
Funder
WNI WxBunka Foundation, Japan
Indian Institute of Technology, Roorkee, India
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2022.2097031
Reference19 articles.
1. Arthur, D., and S. Vassilvitskii. 2006. “K-Means++: The Advantages of Careful Seeding.” Technical Report. Stanford.
2. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
3. Systematic study of color spaces and components for the segmentation of sky/cloud images
4. Color-Based Segmentation of Sky/Cloud Images From Ground-Based Cameras
5. Nighttime sky/cloud image segmentation
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