Ship Target Discrimination in SAR Images Based on BOW Model With Multiple Features and Spatial Pyramid Matching

Ship Target Discrimination in SAR Images Based on BOW Model With Multiple Features and Spatial Pyramid Matching

To eliminate the false alarms in the ship target detection effectively for synthetic aperture radar (SAR) images in complex scenes, this article present a novel ship target discrimination algorithm based on bag of words (BOW) model with multiple features and spatial pyramid matching (SPM), which is...

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Bibliographic Details
Main Authors: Shiyuan Chen, Xiaojiang Li, Shaoquan Chi, Zhiliang Li, Mao Yuxing
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
SAR images
ship targets discrimination
bag of words (BOW)
local features
global features
spatial pyramid matching (SPM)
Online Access:https://ieeexplore.ieee.org/document/9187782/

Internet

https://ieeexplore.ieee.org/document/9187782/

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