Optical Remote Sensing Ship Recognition and Classification Based on Improved YOLOv5

Optical Remote Sensing Ship Recognition and Classification Based on Improved YOLOv5

Due to the special characteristics of the shooting distance and angle of remote sensing satellites, the pixel area of ship targets is small, and the feature expression is insufficient, which leads to unsatisfactory ship detection performance and even situations such as missed and false detection. To...

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Bibliografische gegevens
Hoofdauteurs: Jun Jian, Long Liu, Yingxiang Zhang, Ke Xu, Jiaxuan Yang
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2023-09-01
Reeks:Remote Sensing
Onderwerpen:
optical remote sensing images
convolutional block attention module
cross-layer connection channel
lightweight GSConv
Wise-IoU loss function
median + bilateral filter
Online toegang:https://www.mdpi.com/2072-4292/15/17/4319

Internet

https://www.mdpi.com/2072-4292/15/17/4319

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