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An optimal multiedge detector for SAR image segmentation
1998
IEEE Transactions on Geoscience and Remote Sensing
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We here propose a new step edge detector for SAR images, which is optimal in the minimum mean square error (MSSE) sense under a stochastic multiedge model. ...
Abstract| Edge detection is a fundamental issue in image analysis. ...
Multiedge detection in SAR images For most scene types, the large windows that we use to detect edges in SAR images are likely to contain several edges simultaneously. ...
doi:10.1109/36.673672
fatcat:tx5t4wuodvbtbizcqc5waxzvb4
Improved multiedge detection and reflectivity estimation for SAR images
2002
IEEE International Conference on Acoustics Speech and Signal Processing
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We propose sliding-window multiedge detectors and reflectivity estimators for complex SAR images. ...
In the multiedge case, simulation results demonstrate a substantial performance improvement over existing methods when the speckle is colored and additive noise is present. ...
This paper proposes sliding-window techniques for multiedge detection and reflectivity estimation in complex 1 SAR images. ...
doi:10.1109/icassp.2002.5744041
dblp:conf/icassp/ChabertHT02
fatcat:36usr7iqzngxfpmfsd3xjzfrau
Bayesian edge detector for SAR imagery using discontinuity-adaptive Markov random field modeling
2013
Chinese Journal of Aeronautics
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The experimental results with synthetic and real SAR images show that the proposed detector could efficiently detect edges in SAR images, and achieve better performance than two popular detectors in terms ...
Synthetic aperture radar (SAR) image is severely affected by multiplicative speckle noise, which greatly complicates the edge detection. ...
The proposed edge detection algorithm for SAR images is presented in Section 4. ...
doi:10.1016/j.cja.2013.04.059
fatcat:efo7ratupvbuzbi2qltsnxlyui
Trends, Technologies, and Key Challenges in Smart and Connected Healthcare
2021
IEEE Access
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In combating the pandemic, SCH has been used efficiently at different stages such as disease diagnosis, virus detection, individual monitoring, tracking, controlling, and resource allocation. ...
We reflected the COVID-19 case study illustrating how some countries have tackled the pandemic differently in terms of leveraging the power of different SCH technologies, such as big data, cloud computing ...
Context-aware solutions for multimodal data compression, in-network processing, and edge-event detection in multiedge cloud-based systems [56] are promising. ...
doi:10.1109/access.2021.3079217
pmid:34812394
pmcid:PMC8545204
fatcat:pq4bodhga5bdfhvip6bo7bdstu
Using Social Networks for Modeling and Optimization in a Healthcare Setting
2011
Computer Sciences Commons Recommended Citation
unpublished
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We model this problem as a generalization of the budgeted maximum coverage problem studied previously and show that in fact our problem is much more difficult to solve in general. ...
Our results show that, in general, the quality of solutions produced by these approximations is highly dependent on the dynamics of disease spread. ...
This process can fall into situations where a multiedge or self loop is formed. ...
fatcat:4z77lap6xfhplct2amdjhp74ny