EffResUNet: Encoder Decoder Architecture for Cloud-Type Segmentation

EffResUNet: Encoder Decoder Architecture for Cloud-Type Segmentation

Clouds play a vital role in Earth’s water cycle and the energy balance of the climate system; understanding them and their composition is crucial in comprehending the Earth–atmosphere system. The dataset “Understanding Clouds from Satellite Images” contains cloud pattern images downloaded from NASA...

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Bibliographic Details
Main Authors: Sunveg Nalwar, Kunal Shah, Ranjeet Vasant Bidwe, Bhushan Zope, Deepak Mane, Veena Jadhav, Kailash Shaw
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Big Data and Cognitive Computing
Subjects:
semantic segmentation
encoder-decoder network
satellite images
clouds
Online Access:https://www.mdpi.com/2504-2289/6/4/150

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https://www.mdpi.com/2504-2289/6/4/150

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