Adaptive convolutional network for SAR image classification

Author:

Xia Shuang1,Yu Ze1,Yu JinDong1

Affiliation:

1. School of Electronics and Information Engineering, BeiHang UniversityBeijingPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Reference14 articles.

1. An overview of automatic target recognition;Dudgeon D.E.;Lincoln Lab. J,1993

2. Convolutional neural network with data augmentation for SAR target recognition;Ding J.;IEEE Geosci. Remote Sens. Lett.,2016

3. JoachimsT.: ‘Making large‐scale SVM learning practical’. Technische Universität Dortmund Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen 1999 pp.499–526

4. Target classification using the deep convolutional networks for SAR images;Chen S.;IEEE Trans. Geosci. Remote Sens.,2016

5. Improving SAR automatic target recognition models with transfer learning from simulated data;Malmgren‐Hansen D.;IEEE Geosci. Remote Sens. Lett.,2017

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