Real-time image recognition using weighted spatial pyramid networks

The latest-generation earth observation instruments on airborne and satellite platforms are currently producing an almost continuous high-dimensional data stream. This exponentially growing data poses a new challenge for real-time image processing and recognition. Making full and effective use of th...

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Veröffentlicht in:	Journal of real-time image processing Jg. 15; H. 3; S. 617 - 629
Hauptverfasser:	Zhu, Xiaoning, Meng, Qingyue, Gu, Lize
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2018 Springer Nature B.V
Schlagworte:	Accuracy Airborne instruments Algorithms Artificial neural networks Back propagation Computer Graphics Computer Science Convergence Data processing Data transmission Deep learning Distributed processing Estimation Feature extraction High resolution Image processing Image Processing and Computer Vision Image resolution Multimedia Information Systems Natural disasters Neural networks Optimization algorithms Pattern Recognition Random variables Real time Regularization Remote sensing Signal,Image and Speech Processing Software packages Special Issue Paper Stochastic gradient-based optimization Image recognition Deep neural networks Remote sensing
ISSN:	1861-8200, 1861-8219
Online-Zugang:	Volltext
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