A Combined Frame Difference and Convolution Method for Moving Vehicle Detection in Satellite Videos
To address the challenges of missed detections caused by insufficient shape and texture features and blurred boundaries in existing detection methods, this paper introduces a novel moving vehicle detection approach for satellite videos. The proposed method leverages frame difference and convolution...
Saved in:
Main Authors: | Xin Luo, Jiatian Li, Xiaohui A, Yuxi Deng |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/25/2/306 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Object detection and tracking in video sequences: formalization, metrics and results
by: R. P. Bohush, et al.
Published: (2021-03-01) -
Automatic detection and tracking the moving objects observed by an unmanned aerial vehicles video camera
by: R. S. Zhuk
Published: (2021-07-01) -
MambaShadowDet: A High-Speed and High-Accuracy Moving Target Shadow Detection Network for Video SAR
by: Xiaowo Xu, et al.
Published: (2025-01-01) -
Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification
by: Kalyan Kumar Jena, et al.
Published: (2023-03-01) -
Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection
by: Jiayi Zheng, et al.
Published: (2025-01-01)