CNN Based Simulation Parameter Prediction of SAR Images

YIN Yu-lin; HUANG Shan

doi:10.3969/j.issn.1671-637x.2018.08.012

[2] FRANCESCHETTI GMIGLIACCIO MRICCIO Det al.SARAS: a Synthetic Aperture Radar (SAR) raw signal simulator［J］.IEEE Transactions on Geoscience & Remote Sensing199230(1):110-123.

[5] LECUN YBOSER BDENKER J Set al.Backpropagation applied to handwritten Zip code recognition［J］.Neural Computation19891(4):541-551.

[6] KRIZHEVSKY ASUTSKEVER IHINTON G E.Image Net classification with deep convolutional neural networks［C］//Proceedings of the 25th International Conference on Neural Information Processing Systems2012:1097-1105.

[7] TAIGMAN YYANG MRANZATO Met al.DeepFace:closing the gap to human-level performance in face verification［C］//IEEE Conference on Computer Vision and Pattern Recognition2014:1701-1708.

[8] FAN H QCAO Z MJIANG Y Net al.Learning deep face representation［J］.Computer Science2014arXiv：1403.2802v1［cs.CV］.

[11] SIMONYAN KZISSERMAN A.Very deep convolutional networks for large-scale image recognition［J］.Computer Science2014arXiv：1409.1556v6［cs.CV］.

[12] GIRSHICK R.Fast R-CNN［J］.Computer Science 2015arXiv：1504.08083v2［cs.CV］.

[13] HONG SNOH HHAN B.Decoupled deep neural network for semi-supervised semantic segmentation［J］.Computer Science2015arXiv：1506.04924v2［cs.CV］.

[16] HINTON G ESRIVASTAVA NKRIZHEVSKY Aet al.Improving neural networks by preventing co-adaptation of feature detectors［J］.Computer Science20123(4):212-223.