Lianchen Zhao^1,2, Yizhun Peng^1,2, Di Li^1,2, Yuheng Zhang^1,2
1College of Electronic Information and Automation, Tianjin University of Science and Technology, China
²Advanced Structural Integrity International Joint Research Centre, Tianjin University of Science and Technology, China
pp. 134-139
ABSTRACT
There are still some improvements in target detection of high-resolution optical remote sensing images. In this paper, deep learning algorithm is used to detect the target in remote sensing image. Improve and optimize the deep learning target detection algorithm. The concepts of multi-scale feature fusion, feature pyramid and residual network are explained. By improving yolov3 algorithm, the detection effect of aircraft and ship in DOTA data set is significantly improved.

ARTICLE INFO
Article History
Received 16 November 2020
Accepted 12 November 2021

Keywords
Deep learning
Target detection
Residual network
Remote sensing image
Feature pyramid

JAALR2305

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