计算机科学
人工智能
低空
特征(语言学)
计算机视觉
特征选择
图像处理
模式识别(心理学)
特征提取
运动(物理)
高度(三角形)
图像(数学)
语言学
哲学
几何学
数学
作者
Jianming Shao,Ya Yu,Zheng Xu,Chen Ye,Minghao Yan,Yuhao Tong
标识
DOI:10.1109/cvidl58838.2023.10166222
摘要
This article presents a comprehensive overview of image processing techniques for low-altitude target recognition. The analysis includes various algorithms that incorporate shape, texture, and motion features, highlighting their advantages, disadvantages, and applicability. Additionally, this article explores multiple methods for low-altitude target recognition based on multi-feature fusion, comparing their advantages and disadvantages, and discussing future technological development directions. The article serves as a valuable reference for researchers interested in low-altitude target recognition, providing insights on algorithm selection and the application of multi-feature fusion. The presented research is expected to contribute to the advancement of low-altitude target recognition technology.
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