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Illicit Vessel Identification in Inland Waters Using SAR Image
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City

Edinburgh / /

Company

C. Artificial Neural Networks / J. J. Verbeek N. A. / ICANN / DSTO Information Sciences Laboratory / Dongting Lake / /

Country

Australia / China / /

Currency

USD / /

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Event

M&A / Product Release / /

Facility

Yichen Tian Institute of Remote Sensing Applications Chinese Academy / /

IndustryTerm

threshold algorithms / layer feed-forward neural network / traffic management / feedforward back-propagation neural networks / back-propagation algorithm / soft k-segments algorithm / Back-propagation training algorithm / neural networks / artificial neural network / satellite orbital parameters / simulated waterway course result using neural networks / satellite images / artificial neural networks / feed-forward network / simulated waterway course using neural networks / soft ksegments algorithm / multi-layer feed-forward neural networks / important tool / k-segments algorithm / feed-forward neural networks / /

Organization

Ministry of Science and Technology of the People / Federal Government / Statistical Assoc. / Remote Sensing Applications Chinese Academy of Sciences Beijing / Canadian Space Agency / Swiss National Bank / European Union / Yichen Tian Institute / Pattern Analysis and Machine Intelligence / /

Person

Lei Zhang / /

Position

layer feed-forward / guard / feed-forward / representative / /

Product

Remotely Sensed SAR Data RADARSAT-1 / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / /

Technology

Back-propagation training algorithm / radiation / soft ksegments algorithm / modified two-parameter CFAR algorithm / Automatic Identification System / Remote Sensing / Adaptive threshold algorithms / neural network / CFAR algorithm / two-parameter CFAR algorithm / back-propagation algorithm / soft k-segments algorithm / twoparameter CFAR algorithm / Simulation / k-segments algorithm / /

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