Frost forecasting via weakly-supervised semantic segmentation of satellite imagery

Recent research on frost forecasting has employed machine learning approaches to build prediction models tailored to specific locations. Although these models have proven effective, their applications are limited to areas where meteorological observations are available. Forecasting coverage can be e...

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Bibliographic Details

Published in:	GIScience & Remote Sensing
Main Authors:	Seokho Kang, Seon-Kyeong Seong, Eunha Sohn, Jiyoung Kim, Jaewoong Shim
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2025-12-01
Subjects:	Frost forecasting meteorological satellite semantic segmentation weakly-supervised learning convolutional neural network
Online Access:	https://www.tandfonline.com/doi/10.1080/15481603.2025.2496013