Infrared Small Target Detection Based on Fully Convolutional Neural Network and Visual Saliency

Jun-ming LIU; Wei-hua MENG

doi:10.3788/gzxb20204907.0710003

[3] Y XU, J ZHANG. Real-time detection algorithm for small space targets based on max-median filter. Journal of Information & Computational Science, 11, 1047-1055(2014).

[5] C L P CHEN, H LI, Y T WEI. A local contrast method for small infrared target detection. IEEE Transactions on Geoscience and Remote Sensing, 52, 574-581(2013).

[6] Y T WEI, X G YOU, H LI. Multiscale patch-based contrast measure for small infrared target detection. Pattern Recognition, 58, 216-226(2016).

[7] MADI S, MOALLEM P, SABAHI M F. Fast robust small infrared target detection using absolute directional mean difference algithm[J]. arXiv preprint arXiv: 1810.03173, 2018.

[8] H ZHANG, L ZHANG, D YUAN. Infrared small target detection based on local intensity and gradient properties. Infrared Physics & Technology, 89, 88-96(2018).

[9] J NIE, S QU, Y WEI. An infrared small target detection method based on multiscale local homogeneity measure. Infrared Physics & Technology, 90, 186-194(2018).

[10] C Y ZHENG, H LI. Small infrared target detection based on low-rank and sparse matrix decomposition. Applied Mechanics and Materials, 239-240, 214-218(2013).

[11] C GAO, D MENG, Y YANG. Infrared patch-image model for small target detection in a single image. IEEE Transactions on Image Processing, 22, 4996-5009(2013).

[12] REDMON J, DIVVALA S, GIRSHICK R, et al. You only look once: unified, realtime object detection[C].Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2016: 779788.

[13] REDMON J, FARHADI A. YOLO9000: better, faster, stronger[C].Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2017: 72637271.

[14] LIU W, ANGUELOV D, ERHAN D, et al. SSD: Single shot multibox detect[C].European Conference on Computer Vision, 2016: 2137.

[15] GIRSHICK R, DONAHUE J, DARRELL T, et al. Rich feature hierarchies f accurate object detection semantic segmentation[C].Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2014: 580587.

[16] GIRSHICK R. Fast RCNN[C].Proceedings of the IEEE International Conference on Computer Vision, 2015: 14401448.

[17] REN S, HE K, GIRSHICK R, et al. Faster RCNN: towards realtime object detection with region proposal wks[C].Advances in Neural Infmation Processing Systems, 2015: 9199.

[21] M ZHOU, M JING, D LIU. Multi-resolution networks for ship detection in infrared remote sensing images. Infrared Physics & Technology, 92, 183-189(2018).

[24] Z GAO, J DAI, C XIE. Dim and small target detection based on feature mapping neural networks. Journal of Visual Communication and Image Representation, 62, 206-216(2019).

[25] LONG J, SHELHAMER E, DARRELL T. Fully convolutional wks f semantic segmentation[C].Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2015: 34313440.

[26] HU J, SHEN L, SUN G. Squeezeexcitation wks[C].Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2018: 71327141.

[27] ZHANG W, CONG M, WANG L. Algithms f optical weak small targets detection tracking[C].International Conference on Neural wks Signal Processing, 2003, 1: 643647.