Results 221 to 230 of about 12,080 (258)
Some of the next articles are maybe not open access.
A neural network algorithm for sea ice edge classification
IEEE Transactions on Geoscience and Remote Sensing, 1997The NASA Scatterometer (NSCAT), launched in August 1995, is designed to measure wind vectors over ice-free oceans. To prevent contamination of the wind measurements, by the presence of sea ice, algorithms based on neural network technology have been developed to classify ice-free ocean surfaces.
Sami Alhumaidi +3 more
openaire +2 more sources
Sea ice classification using compact polarized SAR
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016Sea ice is a dominant indicator of climate change with rapid sea ice loss observed in Arctic Ocean in recent years. Spaceborne Synthetic Aperture Radar (SAR) sensors are ideal for ice monitoring because of their all-weather operation and sensitivity to surface roughness, volume structure, dielectric properties and viewing geometry.
Haiyan Li, William Perrie
openaire +1 more source
Sea ice classification using SAR backscatter statistics
IEEE Transactions on Geoscience and Remote Sensing, 1992Sea ice classification accuracy using standard statistics and higher order texture statistics generated from grey-level co-occurrence (GLC) matrices were compared for synthetic aperture radar (SAR) data collected during the Marginal Ice Zone Experiment (MIZEX) in April 1987.
Jeffrey A. Nystuen, Frank W. Garcia Jr.
openaire +1 more source
Sea ice SAR classification based on edge features
2009 IEEE International Geoscience and Remote Sensing Symposium, 2009In addition to the areal backscattering, the information in sea ice SAR images is in the edges. Here we propose some novel features for sea ice SAR classification. The features are mainly based on the information extracted from the edges detected by an edge detection algorithm, and segment edges at segment boundaries.
Juha Karvonen, Martti Hallikainen
openaire +1 more source
Sea Ice Type Classification Of Sar Imagery
International Geoscience and Remote Sensing Symposium, 'Remote Sensing: Moving Toward the 21st Century'., 2005Fully automatic algorithms have been developed which can produce sea ice type classification maps and sea ice concentration estimates of synthetic aperture radar (SAR) imagery. The sea ice type classification algorithm uses local statistics to determine ice type boundaries, and the ice concentration algorithm iteratively decomposes the histogram into ...
C.C. Wackerman +2 more
openaire +1 more source
Bayesian classification of the ice cover of the Arctic seas
Izvestiya, Atmospheric and Oceanic Physics, 2015A classification of sea ice in the Arctic by age (multiyear; first-year; and first-year deformed ice, nilas, etc.) is developed based on the Bayesian approach using satellite radar data and taking into account regional peculiarities of these types of ice for different sectors of the Arctic. Estimations of a priori probabilities for each ice type, which
N. Yu. Zakhvatkina, I. A. Bychkova
openaire +1 more source
Active Microwave Classification Of Sea Ice
12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,, 2005Radar backscatter studies of Arctic sea ice have been carried out over a number of years with the intent to acquire physical property information through the examination of microwave signatures. The breadth of these studies continues to expand; as an example, measurements are now conducted at frequencies from 500 MHz to about 100 GHz.
openaire +1 more source
Fuzzy clustering approach in unsupervised sea-ice classification
Neurocomputing, 1999Abstract Fuzzy clustering approach for the determination of sea-ice types in polar regions from passive radar images is considered in this paper. The sea-ice concentration in polar regions is generally monitored by multichannel passive microwave imager, and the sea-ice types in polar regions are determined by clustering.
openaire +1 more source
Sea-Ice Image Classification for Channel Navigation in Polar Application
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018In the paper, we proposed a novel framework for the sea-ice images classification, which will be very helpful for the future channel navigation in polar applications. Firstly, the three different types of sea ice are defined in the paper based on the large amounts of data inspection, such as thick ice, thin ice and water.
Nan Su 0001 +4 more
openaire +1 more source
Automated Sea Ice Classification Using Sentinel-1 Imagery
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019Sentinel-1A and 1B operate in Extra Wide swath dual-polarization mode over the Arctic Seas, and the two-satellite constellation provides the most frequent SAR observation of the Arctic sea ice ever. However, the use of Sentinel-1 for sea ice classification has not been popular because of relatively higher level of system noise and radiometric ...
Jeong-Won Park +3 more
openaire +1 more source

