A Preprocessing Method for Moving Vehicle Images Based on Satellite Images

With the rapid development of satellite technology, satellite image processing technology is gradually mature, which can provide reliable data support for various fields. However, in satellite images, vehicle type targets face the problems of complex background, small target size and low contrast, which seriously affect the effect of subsequent experiments. In this paper, an image preprocessing and image enhancement method is proposed to improve the visibility of vehicle targets, reduce background interference, and provide support for subsequent vehicle detection and tracking tasks. The experimental results show that the proposed method can significantly improve the image processing effect and has high robustness.

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Publication Details

Published
2025-02-28
DOI
https://doi.org/10.1109/iccece65250.2025.10985452
Primary Topic
Geological Modeling and Analysis
Type
article
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A Preprocessing Method for Moving Vehicle Images Based on Satellite Images

Haijun He, Xiaosong Li, Guanghao Liu, Jing Wang et al.
Geological Modeling and Analysis
article

A Preprocessing Method for Moving Vehicle Images Based on Satellite Images

Haijun He, Xiaosong Li, Guanghao Liu, Jing Wang, Dudu Guo, Wenxing Cai
article en

Abstract

With the rapid development of satellite technology, satellite image processing technology is gradually mature, which can provide reliable data support for various fields. However, in satellite images, vehicle type targets face the problems of complex background, small target size and low contrast, which seriously affect the effect of subsequent experiments. In this paper, an image preprocessing and image enhancement method is proposed to improve the visibility of vehicle targets, reduce background interference, and provide support for subsequent vehicle detection and tracking tasks. The experimental results show that the proposed method can significantly improve the image processing effect and has high robustness.

Xinjiang Police College (CN), Xinjiang University (CN)
Openalex Percentile: Top 90%
Geological Modeling and Analysis
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