Multiple Feature Aggregation Using Convolutional Neural Networks for SAR Image-Based Automatic Target Recognition

Since synthetic aperture radar (SAR) images contain severe noise, it is important to extract noise excluded feature when recognizing the target in the SAR image. Therefore, previous SAR automatic target recognition (ATR) methods use separate preprocessing process or pose information of SAR to reduce...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2018-12, Vol.15 (12), p.1882-1886
Hauptverfasser:	Cho, Jun Hoo, Park, Chan Gook
Format:	Artikel
Sprache:	eng
Schlagworte:	Aggregation Artificial neural networks Automatic target recognition Automatic target recognition (ATR) Computer simulation convolutional neural networks (CNNs) Data mining feature aggregation Feature extraction Feature recognition Image recognition Information processing Methods Neural networks Noise Noise reduction Object recognition Optical imaging Preprocessing Radar Radar imaging SAR (radar) Synthetic aperture radar synthetic aperture radar (SAR) Target acquisition Target recognition Training data
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