Open Access
| Issue |
JNWPU
Volume 43, Number 1, February 2025
|
|
|---|---|---|
| Page(s) | 154 - 162 | |
| DOI | https://doi.org/10.1051/jnwpu/20254310154 | |
| Published online | 18 April 2025 | |
- SUN Yang, YANG Jungang, AN Wei. Infrared dim and small target detection via multiple subspace learning and spatial-temporal patch-tensor model[J]. IEEE Trans on Geoscience and Remote Sensing, 2021, 59(5): 3737–3752. [Article] [Google Scholar]
- RIVEST J, FORTIN R. Detection of dim targets in digital infrared imagery by morphological image processing[J]. Optical Engineering, 1996, 35: 1886–1893. [Article] [Google Scholar]
- ZENG Min, LI Jianxun, ZHANG Peng. The design of top-hat morphological filter and application to infrared target detection[J]. Infrared Physics & Technology, 2006, 48: 67–76 [Google Scholar]
- WEI Yantao, YOU Xingge, LI Hong. Multiscale patch-based contrast measure for small infrared target detection[J]. Pattern Recognition, 2016, 58: 216–226. [Article] [Google Scholar]
- LU Ruitao, YANG Xiaogang, LI Weipeng, et al. Robust infrared small target detection via multidirectional derivative-based weighted contrast measure[J]. IEEE Geoscience and Remote Sensing Letters, 2020, 19: 1–5 [Google Scholar]
- GAO Chenqiang, MENG Deyu, YANG Yi, et al. Infrared patch-image model for small target detection in a single image[J]. IEEE Trans on Image Processing, 2013, 22(12): 4996–5009 [Google Scholar]
- LIU Ming, DU Haoran, ZHAO Yuejin, et al. Image small target detection based on deep learning with SNR controlled sample generation[J]. Current Trends in Computer Science and Mechanical Automation, 2017, 1: 211–220 (in Chinese) [Google Scholar]
- MCINTOSH B, VENKATARAMANAN S, MAHALANOBIS A. Infrared target detection in cluttered environments by maximization of a target to clutter ratio(TCR) metric using a convolutional neural network[J]. IEEE Trans on Aerospace and Electronic Systems, 2021, 57(1): 485–496 (in Chinese) [NASA ADS] [CrossRef] [Google Scholar]
- JU Moran, LUO Jiangning, LIU Guangqi, et al. ISTDet: an efficient end-to-end neural network for infrared small target detection[J]. Infrared Physics & Technology, 2021, 114(7): 103659 [Google Scholar]
- DAI Yimian, WU Yiquan, ZHOU Fei, et al. Asymmetric contextual modulation for infrared small target detection[C]//IEEE Winter Conference on Apploication of Computer Vision, 2021 [Google Scholar]
- LI Boyang, XIAO Chao, WANG Longguang, et al. Dense nested attention network for infrared small target detection[J]. IEEE Trans on Image Processing, 2022, 32: 1745–1758 [Google Scholar]
- ASHISH Vaswani, NOAM Shazeer, NIKI Parmar, et al. Attention is all you need[C]//Proceedings of the 31st International Conference on Neural Information Processing Systems, 2017 [Google Scholar]
- DOSOVITSKIY Alexey. An image is worth 16×16 words: transformers for image recognition at scale[C]//International Conference on Learning Representations, 2021 [Google Scholar]
- YUE Liyuan, CHEN Yunpeng, WANG Tianwei, et al. Tokens-to-token ViT: training vision transformers from scratch on ImageNet[C]//Proceedings of International Conference on Computer Vision, 2021: 538–547 [Google Scholar]
- HUI Bingwei, SONG Zhiyong, FAN Hongqi, et al. A dataset for dim-small target detection and tracking of aircraft in infrared image sequences[EB/OL]. (2020-08-17)[2023-09-23]. [Article] [Google Scholar]
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