Did you mean: SI-STAR-7.
Si-stsar-7: A large sar images dataset with spatial and temporal information for classification of winter sea ice in hudson bay
… The construction process of the SI-STSAR-7 dataset in this study is shown in Figure 1. We
firstly determined the data source and study area, taking into account the accessibility of SAR …
firstly determined the data source and study area, taking into account the accessibility of SAR …
[PDF][PDF] Sea ice classification of SAR images based on SE-ConvLSTM spatial-temporal feature fusion
G Mengying, G Wen, Z Min, GUO Weiqi… - … Sensing Technology and …, 2023 - rsta.ac.cn
… 将 SI-STSAR-7 数据集 6 个时间步长的图像块作为输入对所 提方法与其他分类方法进行了
对比实验.结果显示:SE-ConvLSTM 在总体情况和分类困难的厚 一年冰上分别达到了 97.06% 和 …
对比实验.结果显示:SE-ConvLSTM 在总体情况和分类困难的厚 一年冰上分别达到了 97.06% 和 …
[PDF][PDF] 基于 SE-ConvLSTM 的时空特征融合 SAR 图像海冰分类
葛梦滢， 高稳， 祝敏， 郭伟其， 宋巍 - 遥感技术与应用, 2023 - rsta.ac.cn
… 将SI-STSAR-7 数据集6 个时间步长的图像块作为输入对所 提方法与其他分类方法进行了对比
实验.结果显示:SE-ConvLSTM 在总体情况和分类困难的厚 一年冰上分别达到了97.06% 和90.01…
实验.结果显示:SE-ConvLSTM 在总体情况和分类困难的厚 一年冰上分别达到了97.06% 和90.01…
[HTML][HTML] Classification accuracy and influencing factors of Arctic sea ice based on deep learning and Sentinel-1 satellite imagery
S Zhiyuan, Z Jiechen, XIE Longxiang… - Journal of Marine …, 2024 - hyxyj.sio.org.cn
… 将SI-STSAR-7数据集6个时间步长的图像块作为输入对所提方法与其他分类方法进行了对比
实验.结果显示:SE-ConvLSTM在总体情况和分类困难的厚一年冰上分别达到了97.06%和90.01%的…
实验.结果显示:SE-ConvLSTM在总体情况和分类困难的厚一年冰上分别达到了97.06%和90.01%的…
SeaIceNet: Sea Ice Recognition via Global-Local Transformer in Optical Remote Sensing Images
… SI-STSAR-7 [24] is a labeled spatiotemporal dataset for sea ice classification based on SAR
… of control experiments on the sea ice dataset SI-STSAR-7 of SAR images, as shown in Tab.…
… of control experiments on the sea ice dataset SI-STSAR-7 of SAR images, as shown in Tab.…
CNN and Transformer Fusion Network for Sea Ice Classification Using GaoFen-3 Polarimetric SAR Images
J Zhang, W Zhang, X Zhou, Q Chu, X Yin… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
… Guo, “SI-STSAR-7: A large SAR images dataset with spatial and temporal information for
classification of winter sea ice in hudson bay,” Remote. Sens., vol. 14, no. …
classification of winter sea ice in hudson bay,” Remote. Sens., vol. 14, no. …
Sea ice classification using mutually guided contexts
X Sun, X Zhang, W Huang, Z Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
… Guo, “Si-stsar-7 : A large sar images dataset with spatial and temporal information for
classification of winter sea ice in hudson bay,” Remote Sensing, vol. 14, no. 1, 2022. …
classification of winter sea ice in hudson bay,” Remote Sensing, vol. 14, no. 1, 2022. …
[HTML][HTML] Sea ice extraction via remote sensing imagery: algorithms, datasets, applications and challenges
W Huang, A Yu, Q Xu, Q Sun, W Guo, S Ji, B Wen… - Remote Sensing, 2024 - mdpi.com
… SI-STSAR-7 [83] The dataset is a spatiotemporal collection of SAR imagery specifically
designed for sea ice classification. It encompasses 80 Sentinel-1 A/B SAR scenes captured over …
designed for sea ice classification. It encompasses 80 Sentinel-1 A/B SAR scenes captured over …
Fast-SISENet: A Fast Sea Ice SAR Image Segmentation Network for Sea Ice Disaster Response
J Zhang, W Zhang, X Zhou, Q Chu, S Hu - The Second Global Forum on …, 2024 - Springer
The presence of Arctic sea ice increases navigation risks and introduces numerous instability
factors, representing a major safety hazard for Arctic Route. This paper addresses the …
factors, representing a major safety hazard for Arctic Route. This paper addresses the …
Fast-SISENet: A Fast Sea Ice SAR Image Segmentation Network for Sea Ice Disaster
J Zhang - Proceedings of the Second Global Forum on Space …, 2025 - books.google.com
… Si-stsar-7: a large sar images dataset with spatial and temporal information for
classification of winter sea ice in hudson bay. Remote Sens. 14.1 , 168 (2021) 13. …
classification of winter sea ice in hudson bay. Remote Sens. 14.1 , 168 (2021) 13. …
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