Results 31 to 40 of about 12,080 (258)
Operational sea ice maps are usually generated manually using dual-polarization (DP) synthetic aperture radar (SAR) satellite imagery, but there is strong interest in automating this process.
Saeid Taleghanidoozdoozan +2 more
doaj +1 more source
Sea ice information in the Arctic region is essential for climatic change monitoring and ship navigation. Although many sea ice classification methods have been put forward, the accuracy and usability of classification systems can still be improved.
Bin Wang +4 more
doaj +1 more source
Sea Ice Automatic Extraction in the Liaodong Bay from Sentinel-2 Imagery Using Convolutional Neural Networks [PDF]
Sea ice classification is one of the important tasks of sea ice monitoring. Accurate extraction of sea ice types is of great significance on sea ice conditions assessment, smooth navigation and safty marine operations.
Zherui Li, Huiwen Cai
doaj +1 more source
With the goal of automatic sea ice mapping during the summer sea ice melt cycle, this study involved designing a fully automatic sea ice segmentation method based on a deep learning semantic segmentation network applicable to summer SAR images, which ...
Rui Huang +3 more
doaj +1 more source
ARKTOS: An Intelligent System for SAR Sea Ice Image Classification [PDF]
We present an intelligent system for satellite sea ice image analysis named Advanced Reasoning using Knowledge for Typing Of Sea ice (ARKTOS). ARKTOS performs fully automated analysis of synthetic aperture radar (SAR) sea ice images by mimicking the reasoning process of sea ice experts.
Soh, Leen-Kiat +3 more
openaire +2 more sources
Classification of Sea Ice Types in the Arctic by Radar Echoes from SARAL/AltiKa
An important step in the sea ice freeboard to thickness conversion is the classification of sea ice types, since the ice type affects the snow depth and ice density.
Renée Mie Fredensborg Hansen +2 more
doaj +1 more source
Polar Sea Ice Monitoring Using HY-2A Scatterometer Measurements
A sea ice detection algorithm based on Fisher’s linear discriminant analysis is developed to segment sea ice and open water for the Ku-band scatterometer onboard the China’s Hai Yang 2A Satellite (HY-2A/SCAT).
Mingming Li +4 more
doaj +1 more source
Towards representation learning of radar altimeter waveforms for sea ice surface classification [PDF]
Satellite radar altimeters provide crucial insights into polar oceans and their sea ice cover, enabling the estimation of sea level, sea ice freeboard, and thickness.
L. Happ +7 more
doaj +1 more source
Multisensor approach to automated classification of sea ice image data [PDF]
A multisensor data fusion algorithm based on a multilayer neural network is presented for sea ice classification in the winter period. The algorithm uses European Remote Sensing (ERS), RADARSAT synthetic aperture radar (SAR), and low-resolution television camera images and image texture features.
Andrey V. Bogdanov +4 more
openaire +3 more sources
Deep Semisupervised Teacher–Student Model Based on Label Propagation for Sea Ice Classification
In this article, we propose a novelteacher–student-based label propagation deep semisupervised learning (TSLP-SSL) method for sea ice classification based on Sentinel-1 synthetic aperture radar data.
Salman Khaleghian +4 more
doaj +1 more source

