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HazeRes-DFDet: Haze-Resilient Depth–Frequency Detector for foggy drone images

delete2026-07-31
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PRE
AI
Y
Yiwen Chen
W
Wenjie Li
G
Guangwei Gao *
Y
Yanchao Li
J
Jiucheng Xie
Y
Yi Yu
DOI：10.1016/j.patcog.2026.114544delete
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Abstract

Abstract

En 中文
• We propose ACmix to improve the performance of small object detection. • We introduce CDHA to achieve accurate and discriminative feature extraction. • We propose FDFM to enrich feature representation and enhance edge details.
Keywords:
Drone detection
Hazy condition
Depth enhancement
Frequency fusion

Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

Organization

B
beijing university of posts and telecommunications
Scholars:
1.8K
Papers: 695
Citations: 0
N
nanjing university of posts and telecommunications
Scholars:
3.1K
Papers: 1.4K
Citations: 0
N
nanjing university of science and technology
Scholars:
2.9K
Papers: 983
Citations: 0
H
hiroshima university
Scholars:
2.8K
Papers: 1.0K
Citations: 0
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