Classification of sea ice types in Sentinel-1 SAR data using convolutional neural networks
A new algorithm for classification of sea ice types on Sentinel-1 Synthetic Aperture Radar
(SAR) data using a convolutional neural network (CNN) is presented. The CNN is trained on …
(SAR) data using a convolutional neural network (CNN) is presented. The CNN is trained on …
A meta-analysis of sea ice monitoring using spaceborne polarimetric SAR: Advances in the last decade
Sea ice profoundly influences ocean circulation, the polar environment, biology, climate, and
commercial activities. The rapidly changing sea ice environment and increased human …
commercial activities. The rapidly changing sea ice environment and increased human …
[PDF][PDF] 极化合成孔径雷达遥感地物分类研究进展.
李煜， 杨静飞， 张鸿生， 李刚， 陈杰 - Journal of Remote Sensing, 2024 - ygxb.ac.cn
作为遥感信息提取和分析的重要环节, 遥感影像地物分类一直是相关研究领域的热点之一.
由于地面目标特性的复杂性和遥感成像手段的多样性, 遥感影像的准确分类有赖于对影像特点的 …
由于地面目标特性的复杂性和遥感成像手段的多样性, 遥感影像的准确分类有赖于对影像特点的 …
Arctic sea ice and open water classification from spaceborne fully polarimetric synthetic aperture radar
Y Lu, B Zhang, W Perrie - IEEE Transactions on Geoscience …, 2023 - ieeexplore.ieee.org
We present an approach for automatic classification of Arctic sea ice and open water from
spaceborne C-band RADARSAT-2 fully polarimetric (HH, HV, VH, VV) synthetic aperture …
spaceborne C-band RADARSAT-2 fully polarimetric (HH, HV, VH, VV) synthetic aperture …
Sea-ice mapping of RADARSAT-2 imagery by integrating spatial contexture with textural features
Mapping different types of sea ice that form, grow, and melt in polar oceans is essential for
shipping navigation, climate change modeling, and local community safety. Currently, ice …
shipping navigation, climate change modeling, and local community safety. Currently, ice …
Detection of wet snow in the Arctic tundra from time-series fully-polarimetric RADARSAT-2 images
YK Antropova, AS Komarov, M Richardson… - Remote Sensing of …, 2022 - Elsevier
Snow melt onset detection and mapping of snow extent during the spring melt period using
spaceborne Synthetic Aperture Radar (SAR) is important for various applications including …
spaceborne Synthetic Aperture Radar (SAR) is important for various applications including …
Robustness of SAR sea ice type classification across incidence angles and seasons at L-band
S Singha, AM Johansson… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In recent years, space-borne synthetic aperture radar (SAR) polarimetry has become a
valuable tool for sea ice type retrieval. L-band SAR has proven to be sensitive toward …
valuable tool for sea ice type retrieval. L-band SAR has proven to be sensitive toward …
Incident angle dependence of Sentinel-1 texture features for sea ice classification
J Lohse, AP Doulgeris, W Dierking - Remote Sensing, 2021 - mdpi.com
Robust and reliable classification of sea ice types in synthetic aperture radar (SAR) images
is needed for various operational and environmental applications. Previous studies have …
is needed for various operational and environmental applications. Previous studies have …
[HTML][HTML] Incidence Angle Normalization of C-Band Radar Backscattering Coefficient over Agricultural Surfaces Using Dynamic Cosine Method
The radar-backscattering coefficient (σ0) depends on surface characteristics and
instrumental parameters (wavelength, polarization, and incidence angle). For Sentinel-1 …
instrumental parameters (wavelength, polarization, and incidence angle). For Sentinel-1 …
Robust multiseasonal ice classification from high-resolution X-band SAR
Automated solutions for sea ice-type classification from synthetic aperture radar (SAR)
imagery offer an opportunity to monitor sea ice, unimpeded by cloud cover or the arctic night …
imagery offer an opportunity to monitor sea ice, unimpeded by cloud cover or the arctic night …