Understanding the synthetic and measured GAP from the CNN classifier perspective-Reference-Cited by-同舟云学术

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Understanding the synthetic and measured GAP from the CNN classifier perspective

Published:2022-05-31 Issue: Volume: Page:
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Container-title:Algorithms for Synthetic Aperture Radar Imagery XXIX
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Author:

Major Anne,Zelnio Edmund,Garber Frederick D.

Publisher

SPIE

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Graph pretraining approach to utilize synthetic data for SAR ATR;Algorithms for Synthetic Aperture Radar Imagery XXXI;2024-06-07

2. Hybrid generative and contrastive approaches to the synthetic-measured gap;Algorithms for Synthetic Aperture Radar Imagery XXXI;2024-06-07

3. Improving SAR Automatic Target Recognition via Trusted Knowledge Distillation From Simulated Data;IEEE Transactions on Geoscience and Remote Sensing;2024

4. Synthetic data, measured data integrated learning experiments;Algorithms for Synthetic Aperture Radar Imagery XXX;2023-06-13

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