A Method of Rainfall Detection From X-Band Marine Radar Image Based on the Principal Component Feature Extracted-Reference-Cited by-同舟云学术

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A Method of Rainfall Detection From X-Band Marine Radar Image Based on the Principal Component Feature Extracted

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Wei Yanbo¹^ORCID,Liu Yalin²,Song Huili³,Lu Zhizhong³^ORCID

Affiliation:

1. College of Physics and Electronic Information, Luoyang Normal University, Luoyang, China

2. School of Electrical Engineering, Zhengzhou Railway Vocational and Technical College, Zhengzhou, China

3. College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China

Funder

Henan Provincial Science and Technology Research Project

Key Scientific Research Project in Colleges and Universities of Henan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10013696.pdf?arnumber=10013696

Reference25 articles.

1. Identification of Rain and Low-Backscatter Regions in X-Band Marine Radar Images: An Unsupervised Approach

2. A New Method of Rainfall Detection from the Collected X-Band Marine Radar Images

3. Rain-Contaminated Region Segmentation of X-Band Marine Radar Images With an Ensemble of SegNets

4. Evaluation and Mitigation of Rain Effect on Wave Direction and Period Estimation From X-Band Marine Radar Images

5. Rain Detection From X-Band Marine Radar Images: A Support Vector Machine-Based Approach

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