Segmentation of TC clouds in 2016. The segmentation task was accomplished by an algorithm which takes a time series of brightness temperature images of TCs and uses image processing techniques to acquire segmentation for each image in a semi-supervised manner. 

Dataset Files

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[1] Liang Hu, "2016 tropical cyclone cloud segmentation", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/2ekb-hs14. Accessed: Jun. 20, 2024.
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doi = {10.21227/2ekb-hs14},
url = {http://dx.doi.org/10.21227/2ekb-hs14},
author = {Liang Hu },
publisher = {IEEE Dataport},
title = {2016 tropical cyclone cloud segmentation},
year = {2021} }
TY - DATA
T1 - 2016 tropical cyclone cloud segmentation
AU - Liang Hu
PY - 2021
PB - IEEE Dataport
UR - 10.21227/2ekb-hs14
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Liang Hu. (2021). 2016 tropical cyclone cloud segmentation. IEEE Dataport. http://dx.doi.org/10.21227/2ekb-hs14
Liang Hu, 2021. 2016 tropical cyclone cloud segmentation. Available at: http://dx.doi.org/10.21227/2ekb-hs14.
Liang Hu. (2021). "2016 tropical cyclone cloud segmentation." Web.
1. Liang Hu. 2016 tropical cyclone cloud segmentation [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/2ekb-hs14
Liang Hu. "2016 tropical cyclone cloud segmentation." doi: 10.21227/2ekb-hs14