Stacked Fisher autoencoder for SAR change detection

作者：

Highlights：

• The original SAE is expanded to suit with the multiplicative noise in SAR change detection.

• The features extracted by SFAE are more discriminative than the original stacked autoencoder due to that Fisher discriminant criterion is incorporated into SFAE.

• Experiments on the simulated and real SAR datasets reveal that the proposed SFAE algorithm is effective on multitemporal single/multi-polarization SAR change detection. Specifically, the proposed SFAE method is obviously superior to the real-time methods on detection accuracy and the non-realtime methods on computational complexity.

摘要

•The original SAE is expanded to suit with the multiplicative noise in SAR change detection.•The features extracted by SFAE are more discriminative than the original stacked autoencoder due to that Fisher discriminant criterion is incorporated into SFAE.•Experiments on the simulated and real SAR datasets reveal that the proposed SFAE algorithm is effective on multitemporal single/multi-polarization SAR change detection. Specifically, the proposed SFAE method is obviously superior to the real-time methods on detection accuracy and the non-realtime methods on computational complexity.

论文关键词：Stacked fisher autoencoder (SFAE),Synthetic aperture radar (SAR),Change detection,Stacked autoencoder (SAE),Fisher criterion

论文评审过程：Received 11 January 2019, Revised 17 May 2019, Accepted 15 July 2019, Available online 19 July 2019, Version of Record 25 July 2019.

论文官网地址：https://doi.org/10.1016/j.patcog.2019.106971