A fusion adaptive recognition network based on intensity and polarization imaging

Ning Ma; Yunan Wu; Wancheng Liu; Yining Yang; Jinjin Wang; Xin Liu

doi:10.1117/12.3025945

30 April 2024 A fusion adaptive recognition network based on intensity and polarization imaging

Ning Ma, Yunan Wu, Wancheng Liu, Yining Yang, Jinjin Wang, Xin Liu

Proceedings Volume 13156, Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition; 131561P (2024) https://doi.org/10.1117/12.3025945
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China

Abstract

As a new photoelectric detection method, polarization imaging can effectively improve the detection range and recognition accuracy of key targets under harsh environmental conditions by its excellent imaging effect of de-fog reconstruction. This paper proposes an image detection and recognition network based on polarization information and intensity information. The network is based on the yolov5 network integrated with DYHEAD block for recognition, realizing scale perception, space perception and task perception in a unified manner. Meanwhile, Res2Net is integrated for multi-scale characterization at the granularity level. Finally, the attention mechanism is introduced to realize the adaptive extraction and fusion of multi-scale features at the granularity level. The results show that the proposed method can effectively improve the recognition accuracy in low visibility environment.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ning Ma, Yunan Wu, Wancheng Liu, Yining Yang, Jinjin Wang, and Xin Liu "A fusion adaptive recognition network based on intensity and polarization imaging", Proc. SPIE 13156, Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition, 131561P (30 April 2024); https://doi.org/10.1117/12.3025945

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