[HTML][HTML] Review of River Ice Observation and Data Analysis Technologies
This paper provides a comprehensive review of the available literature on the observation
and characterization of river ice using remote sensing technologies. Through an analysis of …
and characterization of river ice using remote sensing technologies. Through an analysis of …
Deep learning based river surface ice quantification using a distant and oblique-viewed public camera
Long-term monitoring of surface ice concentration and ice pan properties are of great
importance for understanding river freeze-up processes but current data are limited due to …
importance for understanding river freeze-up processes but current data are limited due to …
Efficient Shallow Network for River Ice Segmentation
River ice segmentation, used for surface ice concentration estimation, is important for
validating river processes and ice-formation models, predicting ice jam and flooding risks …
validating river processes and ice-formation models, predicting ice jam and flooding risks …
An easy zero-shot learning combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning Strategy
Z Yang, Y Zhu, X Zeng, J Zong, X Liu, R Tao… - arXiv preprint arXiv …, 2023 - arxiv.org
We proposed an easy method of Zero-Shot semantic segmentation by using style transfer. In
this case, we successfully used a medical imaging dataset (Blood Cell Imagery) to train a …
this case, we successfully used a medical imaging dataset (Blood Cell Imagery) to train a …
Adapt: an open-source suas payload for real-time disaster prediction and response with ai
D Davila, J VanPelt, A Lynch, A Romlein… - arXiv preprint arXiv …, 2022 - arxiv.org
Small unmanned aircraft systems (sUAS) are becoming prominent components of many
humanitarian assistance and disaster response (HADR) operations. Pairing sUAS with …
humanitarian assistance and disaster response (HADR) operations. Pairing sUAS with …