Results 21 to 30 of about 12,913 (258)

Eastern Arctic Sea Ice Sensing: First Results from the RADARSAT Constellation Mission Data

Remote Sensing, 2022
Sea ice monitoring plays a vital role in secure navigation and offshore activities. Synthetic aperture radar (SAR) has been widely used as an effective tool for sea ice remote sensing (e.g., ice type classification, concentration and thickness retrieval)
Hangyu Lyu, Weimin Huang, Masoud Mahdianpari   +2 more
doaj   +1 more source

Hyperspectral Sea Ice Image Classification Based on the Spectral-Spatial-Joint Feature with Deep Learning

Remote Sensing, 2019
Sea ice is one of the causes of marine disasters. The classification of sea ice images is an important part of sea ice detection. The labeled samples in hyperspectral sea ice image classification are difficult to acquire, which causes minor sample ...
Yanling Han, Yi Gao, Yun Zhang, Jing Wang, Shuhu Yang   +4 more
doaj   +1 more source

Consistent ice and open water classification combining historical synthetic aperture radar satellite images from ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1A/B

Annals of Glaciology, 2020
Synthetic Aperture Radar (SAR) satellite images are used to monitor Arctic sea ice, with systematic data records dating back to 1991. We propose a semi-supervised classification method that separates open water from sea ice and can utilise ERS-1/2 ...
A. Malin Johansson, Eirik Malnes, Sebastian Gerland, Anca Cristea, Anthony P. Doulgeris, Dmitry V. Divine, Olga Pavlova, Tom Rune Lauknes   +7 more
doaj   +1 more source

Model-based classification of polarimetric SAR sea ice data [PDF]

IEEE International Geoscience and Remote Sensing Symposium, 2003
This paper discusses the role of scattering decomposition models in the classification of polarimetric SAR sea ice data. The iterative Wishart classifier was applied to 3-frequency airborne SAR data acquired in the Beaufort Sea, and the scattering models were found to be helpful in interpreting the assigned classes.
Scheuchl, B., Hajnsek, I., Cumming, I.G.
openaire   +2 more sources

Multisensor microwave sea-ice classification

IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293), 2003
A knowledge of polar sea-ice extent, type, and location is a valuable tool in understanding many geophysical processes. This paper presents an iterative statistical technique for ice classification of multisensor remote sensing imagery. NSCAT, ERS-2, and SSM/I data are used to construct enhanced resolution images.
Q.P. Remund, D.G. Long, M.R. Drinkwater
openaire   +2 more sources

A Novel Data Augmentation Method for Sea Ice Scene Classification of Arctic Aerial Images

IEEE Access, 2019
In this paper, a novel data augmentation method was proposed for supervised sea ice scene classification with arctic aerial images. Ice-type classification of sea ice scenes in a region is useful for instant navigation.
Yiming Yan, Chunming Zhang, Nan Su
doaj   +1 more source

Geostatistical and Statistical Classification of Sea-Ice Properties and Provinces from SAR Data

Remote Sensing, 2016
Recent drastic reductions in the Arctic sea-ice cover have raised an interest in understanding the role of sea ice in the global system as well as pointed out a need to understand the physical processes that lead to such changes. Satellite remote-sensing
Ute C. Herzfeld, Scott Williams, John Heinrichs, James Maslanik, Steven Sucht   +4 more
doaj   +1 more source

An Improved Sea Ice Classification Algorithm with Gaofen-3 Dual-Polarization SAR Data Based on Deep Convolutional Neural Networks

Remote Sensing, 2022
The distribution of sea ice is one of the major safety hazards for sea navigation. As human activities in polar regions become more frequent, monitoring and forecasting of sea ice are of great significance.
Jiande Zhang, Wenyi Zhang, Yuxin Hu, Qingwei Chu, Lei Liu   +4 more
doaj   +1 more source

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

Remote 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, Linlin Xu, David A. Clausi   +2 more
doaj   +1 more source

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

Remote 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, Changying Wang, Jinhua Li, Yi Sui   +3 more
doaj   +1 more source