Results 301 to 310 of about 770,289 (341)
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IEEE Transactions on Geoscience and Remote Sensing, 2002
We present a new differential synthetic aperture radar (SAR) interferometry algorithm for monitoring the temporal evolution of surface deformations. The presented technique is based on an appropriate combination of differential interferograms produced by
P. Berardino +3 more
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We present a new differential synthetic aperture radar (SAR) interferometry algorithm for monitoring the temporal evolution of surface deformations. The presented technique is based on an appropriate combination of differential interferograms produced by
P. Berardino +3 more
semanticscholar +1 more source
An entropy based classification scheme for land applications of polarimetric SAR
IEEE Transactions on Geoscience and Remote Sensing, 1997The authors outline a new scheme for parameterizing polarimetric scattering problems, which has application in the quantitative analysis of polarimetric SAR data.
S. Cloude, E. Pottier
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A three-component scattering model for polarimetric SAR data
IEEE Transactions on Geoscience and Remote Sensing, 1998An approach has been developed that involves the fit of a combination of three simple scattering mechanisms to polarimetric SAR observations. The mechanisms are canopy scatter from a cloud of randomly oriented dipoles, evenor double-bounce scatter from a
A. Freeman, S. Durden
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Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry
IEEE Transactions on Geoscience and Remote Sensing, 2000Discrete and temporarily stable natural reflectors or permanent scatterers (PS) can be identified from long temporal series of interferometric SAR images even with baselines larger than the so-called critical baseline.
A. Ferretti, C. Prati, F. Rocca
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Dense Attention Pyramid Networks for Multi-Scale Ship Detection in SAR Images
IEEE Transactions on Geoscience and Remote Sensing, 2019Synthetic aperture radar (SAR) is an active microwave imaging sensor with the capability of working in all-weather, all-day to provide high-resolution SAR images.
Z. Cui, Qi Li, Z. Cao, Nengyuan Liu
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Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding
IEEE Transactions on Geoscience and Remote Sensing, 2020Building change detection (CD), important for its application in urban monitoring, can be performed in near real time by comparing prechange and postchange very-high-spatial-resolution (VHR) synthetic-aperture-radar (SAR) images.
Sudipan Saha, F. Bovolo, L. Bruzzone
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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.
Mark Bernstein, Mark Bernstein
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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.
Mark Bernstein, Mark Bernstein
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Squeeze and Excitation Rank Faster R-CNN for Ship Detection in SAR Images
IEEE Geoscience and Remote Sensing Letters, 2019Synthetic 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
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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).
Kanta Subbarao, Jun Chen
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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).
Kanta Subbarao, Jun Chen
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A SAR dataset for ATR development: the Synthetic and Measured Paired Labeled Experiment (SAMPLE)
Defense + Commercial Sensing, 2019The 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
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