Results 51 to 60 of about 651,747 (306)
Remote Sensing, 2020 In this paper, multifrequency synthetic aperture radar (SAR) images from ALOS/PALSAR, ENVISAT/ASAR and Cosmo-SkyMed sensors were studied for forest classification in a test area in Central Italy (San Rossore), where detailed in-situ measurements were ...
Alessandro Lapini +5 more
doaj +1 more source
Canadian Journal of Infectious Diseases and Medical Microbiology, 2003 Health Sciences Centre, Department of Internal Medicine, Winnipeg, Manitoba Correspondence: Dr LE Nicolle, Health Sciences Centre, Department of Internal Medicine, GG443 – 820 Sherbrook Street, Winnipeg, Manitoba R3A 1R9. Telephone 204-787-7029, fax 204-787-4826, e-mail nicolle@cc.umanitoba.ca M of Canada viewed the severe acute respiratory syndrome ...
openaire +3 more sources
The SEN1-2 Dataset for Deep Learning in SAR-Optical Data Fusion [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 . While deep learning techniques have an increasing impact on many technical fields, gathering sufficient amounts of training data is a challenging problem in remote sensing. In particular, this holds for applications involving data from multiple sensors
Michael Schmitt +2 more
semanticscholar +1 more source
Advanced Digital Beamforming Concepts for Future SAR Systems [PDF]
, 2010 This paper reviews advanced multi-channel SAR system concepts for the imaging of wide swaths with high resolution. Several novel system architectures employing both direct radiating arrays and reflector antennas fed by a digital array are introduced ...
A. Patyuchenko +13 more
core +1 more source
Spatial Autoregressive Quantile Regression with Application on Open Unemployment Data
Science and Technology Indonesia, 2023 The Open Unemployment Level (OUL) is the percentage of the unemployed to the total labor force. One of the provinces with the highest OUL score in Indonesia is West Java Province. If an object of observation is affected by spatial effects, namely spatial
Ferra Yanuar +3 more
doaj +1 more source
SAR++: a multi-channel scalable and reconfigurable SAR system [PDF]
IEEE International Geoscience and Remote Sensing Symposium, 2003 SAR++ is a technology program aiming at developing know-how and technology needed to design the next generation civilian SAR systems. Technology has reached a state, which allows major parts of the digital subsystem to be built using custom-off-the-shelf (COTS) components.
Høeg, Flemming, Christensen, Erik Lintz
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SAR Image Despeckling Using a Convolutional Neural Network [PDF]
IEEE Signal Processing Letters, 2017 Synthetic aperture radar (SAR) images are often contaminated by a multiplicative noise known as speckle. Speckle makes the processing and interpretation of SAR images difficult.
Puyang Wang, He Zhang, Vishal M. Patel
semanticscholar +1 more source
Leida xuebao, 2019 With the development of artificial intelligence, Synthetic-Aperture Radar (SAR) ship detection using deep learning technology can effectively avoid traditionally complex feature design and thereby greatly improve detection accuracy.
ZHANG Xiaoling +3 more
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Uirusu, 2003 SARS is a new type of infectious pneumonia that emerged in China in November 2002. It spread around the world through an outbreak in Hong Kong in March 2003. Patients were reported in 29 countries, and around 800 people died, although a majority of these cases were in Asian countries.
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Biophysical approaches for studying viral entry
FEBS Letters, EarlyView.Viruses infect all living organisms and have been responsible for major epidemics and pandemics. Their ongoing evolutionary battle with host defenses creates a constant need for improved tools to study viral behavior. Advancing methods to probe viral attachment, fusion, and genome release deepen our understanding of how infections begin and support the
Inbar Yosibash, Raya Sorkin
wiley +1 more source