Estimation of Significant Wave Heights from X-Band Radar Based on ANN Using CNN Rainfall Classifier
Author:
Funder
Ministry of Oceans and Fisheries
Publisher
Korean Society of Coastal and Ocean Engineers
Link
http://jkscoe.or.kr/upload/jkscoe-33-3-101.pdf
Reference14 articles.
1. NEW CALIBRATION METHOD APPLICABLE TO SIGNIFICANT WAVE HEIGHTS OBTAINED BY X-BAND RADAR
2. Spectral signal to clutter and thermal noise properties of ocean wave imaging synthetic aperture radars
3. Real-time quality control of current velocity data on individual grid cells in WERA HF radar
4. HF radar observations in the German Bight: Measurements and quality control
5. Deep Residual Learning for Image Recognition
Cited by 3 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. Quality Enhancement of MIROS Wave Radar Data at Ieodo Ocean Research Station Using ANN;Journal of Ocean Engineering and Technology;2024-06-30
2. Wave Height and Period Estimation from X-Band Marine Radar Images Using Convolutional Neural Network;Journal of Marine Science and Engineering;2024-02-09
3. Wave Height Estimation From X-Band Nautical Radar Images Using Temporal Convolutional Network;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2021
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