TY - GEN
T1 - Accurate SAR Aircraft Detection Algorithm Based on Feature Enhancement
AU - Zhao, Chenxu
AU - Wang, Yizun
AU - Wang, Hongjian
AU - Zhang, Lei
AU - Ding, Chen
AU - Tian, Chunna
AU - Wei, Wei
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Aircraft detection in synthetic aperture radar (SAR) images is of much significance because of its all-weather, all-day, and strong penetrating characteristics. However, existing algorithms exhibit inadequate capacity for feature extraction due to imaging discontinuities and background interference of SAR images. To overcome these task-specific issues, we proposed a feature enhancement-based SAR aircraft detection algorithm. In detail, we employed Adaptive Contrast Enhancement (ACE) in the preprocessing stage to reduce noises, and then we embed Scatter Point Focused Module (SPFM) into network to enhance the feature extraction of aircraft scattering points. Furthermore, we devised Background Interference Suppression Module (BISM) to accentuate salient points and suppress non-essential pixels. Experimental results on the GaoFen-3 SAR aircraft dataset demonstrate the effectiveness of the proposed feature enhancement-based method.
AB - Aircraft detection in synthetic aperture radar (SAR) images is of much significance because of its all-weather, all-day, and strong penetrating characteristics. However, existing algorithms exhibit inadequate capacity for feature extraction due to imaging discontinuities and background interference of SAR images. To overcome these task-specific issues, we proposed a feature enhancement-based SAR aircraft detection algorithm. In detail, we employed Adaptive Contrast Enhancement (ACE) in the preprocessing stage to reduce noises, and then we embed Scatter Point Focused Module (SPFM) into network to enhance the feature extraction of aircraft scattering points. Furthermore, we devised Background Interference Suppression Module (BISM) to accentuate salient points and suppress non-essential pixels. Experimental results on the GaoFen-3 SAR aircraft dataset demonstrate the effectiveness of the proposed feature enhancement-based method.
KW - aircraft detection
KW - feature enhancement
KW - synthetic aperture radar (SAR)
UR - http://www.scopus.com/inward/record.url?scp=85204883291&partnerID=8YFLogxK
U2 - 10.1109/IGARSS53475.2024.10641332
DO - 10.1109/IGARSS53475.2024.10641332
M3 - 会议稿件
AN - SCOPUS:85204883291
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 9631
EP - 9635
BT - IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024
Y2 - 7 July 2024 through 12 July 2024
ER -