SAR Ship Detection Based on End-to-End Morphological Feature Pyramid Network

SAR Ship Detection Based on End-to-End Morphological Feature Pyramid Network

Intelligent ship detection based on high-precision synthetic aperture radar (SAR) images plays a vital role in ocean monitoring and maritime management. Denoising is an effective preprocessing step for target detection. Morphological network-based denoising can effectively remove speckle noise, whil...

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Bibliographic Details
Main Authors: Congxia Zhao, Xiongjun Fu, Jian Dong, Rui Qin, Jiayun Chang, Ping Lang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolution neural network (CNN)
feature pyramid fusion
morphological network
synthetic aperture radar (SAR) target detection
Online Access:https://ieeexplore.ieee.org/document/9716855/

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