Application and performance of convolutional neural networks to SAR

Maxine R. Fox; Ram M. Narayanan

doi:10.1117/12.2305852

4 May 2018 Application and performance of convolutional neural networks to SAR

Maxine R. Fox, Ram M. Narayanan

Author Affiliations +

Proceedings Volume 10633, Radar Sensor Technology XXII; 1063304 (2018) https://doi.org/10.1117/12.2305852
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

Implementation of convolutional neural networks (CNNs) as classifiers has only recently found application in SAR multi-target classification. Despite the creation of several successful architectures, a general approach to CNN design and training has not been determined. In this paper, the basics of CNN architecture and learning algorithms are discussed. The MSTAR data set is used to demonstrate the effect of individual parameter changes to overall network performance.

Citation Download Citation

Maxine R. Fox and Ram M. Narayanan "Application and performance of convolutional neural networks to SAR", Proc. SPIE 10633, Radar Sensor Technology XXII, 1063304 (4 May 2018); https://doi.org/10.1117/12.2305852

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