Analysis of the Influence of De-hazing Methods on Vehicle Detection in Aerial Images

被引:1
作者
Nguyen, Khang [1 ]
Nguyen, Phuc
Bui, Doanh C.
Tran, Minh
Vo, Nguyen D.
机构
[1] Univ Informat Technol, Ho Chi Minh City, Vietnam
关键词
Foggy weather; vehicle detection; DWGAN; two-branch; YOLOv3; sparse R-CNN; deformable deter; cascade R-CNN; crossDet; adverse weather;
D O I
10.14569/IJACSA.2022.01306100
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In recent years, object detection from space in adverse weather, incredibly foggy, has been challenging. In this study, we conduct an empirical experiment using two de-hazing methods: DW-GAN and Two-Branch, for removing fog, then evaluate the detection performance of six advanced object detectors belonging to four main categories: two-stage, one-stage, anchor-free and end-to-end in original and de-hazed aerial images to find the best suitable solution for vehicle detection in foggy weather. We use the UIT-DroneFog dataset, a challenging dataset that includes a lot of small, dense objects captured in various altitudes, as the benchmark to evaluate the effectiveness of approaches. After experiments, we observe that each de-hazing method has different impacts on six experimental detectors.
引用
收藏
页码:846 / 856
页数:11
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