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Pixel level fusion techniques for SAR and optical images: A review

Information Fusion, 2020
Image Fusion is a process of combining two or more images into a single image which is more informative and hence more useful from an interpretation point of view.
S. Kulkarni, P. Rege
semanticscholar   +1 more source

The Immunobiology of SARS

Annual Review of Immunology, 2007
Severe acute respiratory syndrome (SARS) presented as an atypical pneumonia that progressed to acute respiratory distress syndrome in ∼20% of cases and was associated with a mortality of about 10%. The etiological agent was a novel coronavirus (CoV).
Jun, Chen, Kanta, Subbarao
openaire   +2 more sources

SARS and Ethics

Healthcare Quarterly, 2003
SARS is a devastating disease that caused widespread morbidity and mortality, as well as tremendous fear and uncertainty across the global village. There are numerous challenging medical aspects of this disease. Methods required to control it also raised significant ethical challenges for decision-markers both in real time, and for the future.
openaire   +2 more sources

The Lessons of SARS

Annals of Internal Medicine, 2003
Given the low mortality and morbidity of the severe acute respiratory syndrome (SARS) compared with other public health scourges, is the attention devoted to it misdirected? The SARS experience has provided at least 4 enduring lessons. First, by providing a test of the capacity of each part of the public health system, from national to local and ...
openaire   +2 more sources

Squeeze and Excitation Rank Faster R-CNN for Ship Detection in SAR Images

IEEE Geoscience and Remote Sensing Letters, 2019
Synthetic aperture radar (SAR) ship detection is an important part of marine monitoring. With the development in computer vision, deep learning has been used for ship detection in SAR images such as the faster region-based convolutional neural network (R-
Zhao Lin   +3 more
semanticscholar   +1 more source

A SAR dataset for ATR development: the Synthetic and Measured Paired Labeled Experiment (SAMPLE)

Defense + Commercial Sensing, 2019
The publicly-available Moving and Stationary Target Acquisition and Recognition (MSTAR) synthetic aperture radar (SAR) dataset has been an valuable tool in the development of SAR automatic target recognition (ATR) algorithms over the past two decades ...
B. Lewis   +5 more
semanticscholar   +1 more source

OS-SIFT: A Robust SIFT-Like Algorithm for High-Resolution Optical-to-SAR Image Registration in Suburban Areas

IEEE Transactions on Geoscience and Remote Sensing, 2018
Although the scale-invariant feature transform (SIFT) algorithm has been successfully applied to both optical image registration and synthetic aperture radar (SAR) image registration, SIFT-like algorithms have failed to register high-resolution (HR ...
Yuming Xiang, Feng Wang, H. You
semanticscholar   +1 more source

SARS precautions

Emergency Nurse, 2003
Triage nurses have been urged to ask A&E attenders extra questions to help stop the spread of severe acute respiratory syndrome (SARS).
openaire   +2 more sources

The SARS-Associated Stigma of SARS Victims in the Post-SARS Era of Hong Kong

Qualitative Health Research, 2008
This article explores the disease-associated stigma attached to the SARS victims in the post-SARS era of Hong Kong. I argue that the SARS-associated stigma did not decrease over time. Based on the ethnographic data obtained from 16 months of participant observation in a SARS victims' self-help group and semistructured interviews, I argue that the SARS ...
openaire   +5 more sources

Disaster Monitoring by SAR, Gb-SAR and GPR

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
This is the introduction to the organized session entitled "The 2011 Eastern Japan Great Earthquake Disaster -How remote sensing was used, and what we have to do now-". We introduce in this session, how remote sensing methodologies including SAR, GB-SAR and GPR have been used for quick observation of Disaster, just after the event occurred, and how ...
openaire   +1 more source

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