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Remote Sensing Image Object Detection Method Based On Improved YOLOv3 Cover

Remote Sensing Image Object Detection Method Based On Improved YOLOv3

By: Zhiyuan Lu and  Bailin Liu  
Open Access
|May 2023

Figures & Tables

Figure 1.

YOLOv3 overall structure
YOLOv3 overall structure

Figure 2.

PaNet overall structure
PaNet overall structure

Figure 3.

YOLOv3 structure after introduction of PaNet
YOLOv3 structure after introduction of PaNet

Figure 4.

P_R curve
P_R curve

Figure 5.

The detection effect of improved YOLOv3
The detection effect of improved YOLOv3

Detection accuracy of each category on DOIR dataset

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AirplaneAirportBaseball fieldBasketball courtBridgeChimneyDamExpressway service areaExpressway toll stationGolf course
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Ground track fieldHarborOverpassShipStadiumStorage tankTennis courtTrain stationVechileWind mill
Language: English
Page range: 1 - 8
Published on: May 26, 2023
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Zhiyuan Lu, Bailin Liu, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.