An Method for Increase the Target Recognition Rate of Synthetic Aperture Radar Images based on Improved Generative Adversarial Networks
碩士 === 國立臺北科技大學 === 電機工程系 === 107 === Current research shows that synthetic aperture radar (SAR) signals have been proven to be highly detectable and recognizable in surface environments and in specific target monitoring applications, as synthetic aperture radars are weather- and day-night-proof and...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/j56ukn |