SeaIceWeather ...
SeaIceWeather Dataset This is the SeaIceWeather dataset, collected for training and evaluation of deep learning based de-weathering models. This dataset is linked to our paper titled: Deep Learning Strategies for Analysis of Weather-Degraded Optical Sea Ice Images. The paper can be accessed...
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| Format: | Dataset |
| Language: | unknown |
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IEEE DataPort
2024
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| Online Access: | https://dx.doi.org/10.21227/q3v5-3348 https://ieee-dataport.org/documents/seaiceweather |
| Summary: | SeaIceWeather Dataset This is the SeaIceWeather dataset, collected for training and evaluation of deep learning based de-weathering models. This dataset is linked to our paper titled: Deep Learning Strategies for Analysis of Weather-Degraded Optical Sea Ice Images. The paper can be accessed at: https://doi.org/10.1109/jsen.2024.3376518. Abstract of the paper: Ship-based sea ice analysis algorithms rely on optical images captured in optimal weather conditions with high visibility. However, Arctic imagery is often affected by weather-related degradation due to haze, snow, and rain, impacting the efficacy of deep learning tasks for sea ice analysis, such as segmentation and classification. This article introduces and evaluates two strategies to address weather-induced degradation in optical sea ice images (RGB). Strategy 1 employs a two-step pipeline: first, removal of weather degradation using ... |
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