Results 31 to 40 of about 12,080 (258)

Region-Based Sea Ice Mapping Using Compact Polarimetric Synthetic Aperture Radar Imagery with Learned Features and Contextual Information

open access: yesRemote Sensing, 2023
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

A Two-Round Weight Voting Strategy-Based Ensemble Learning Method for Sea Ice Classification of Sentinel-1 Imagery

open access: yesRemote Sensing, 2021
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]

open access: yesE3S Web of Conferences, 2020
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

DF-UHRNet: A Modified CNN-Based Deep Learning Method for Automatic Sea Ice Classification from Sentinel-1A/B SAR Images

open access: yesRemote Sensing, 2023
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]

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2004
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

open access: yesRemote Sensing, 2021
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

open access: yesRemote Sensing, 2016
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]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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]

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2005
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

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
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

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