Point target detection based on deep spatial-temporal convolution neural network

Miao LI; Zai-Ping LIN; Jian-Peng FAN; Wei-Dong SHENG; Jun LI; Wei AN; Xin-Lei LI

doi:10.11972/j.issn.1001-9014.2021.01.017

[1] R Junhwan, K Sungho. Small infrared target detection by data-driven proposal and deep learning-based classification, 10621J-10624J(2018).

[2] X Sui, Q Chen, L Bai. Detection algorithm of targets for infrared search system based on area infrared focal plane array under complicated background. Optik, 123, 235-239(2012).

[3] J Zhao, Z Tang, J Yang et al. Infrared small target detection using sparse representation. Journal of systems engineering and electronics, 22, 897-904(2011).

[4] M Li, Z Lin, Y Long et al. Joint detection and tracking of size-varying infrared targets based on block-wise sparse decomposition. Infrared Physics and Technology, 76, 131-138(2016).

[5] J Gao, Z Lin, W An. Infrared small target detection using a temporal variance and spatial patch contrast filter. IEEE Access, 7, 32217-32226(2019).

[6] W Zhang, M Cong, L Wang. Algorithms for optical weak small targets detection and tracking: Review, 643-647(2003).

[7] C Chen, H Li, Y Wei, T Xia et al. A local contrast method for small infrared target detection. IEEE transactions on geoscience and remote sensing, 52, 574-581(2014).

[8] R Warren. Detection of distant airborne targets in cluttered backgrounds in infrared image sequences(2002).

[9] J Barnett. Statistical analysis of median subtraction filtering with application to point target detection in infrared backgrounds, 10-18(1989).

[10] V Tom, T Peli, M Leung, J Bondaryk. Morphology-based algorithm for point target detection in infrared backgrounds, 2-11(1993).

[11] S D Deshpande, H E Meng, R Venkateswarlu et al. Max-mean and max-median filters for detection of small targets, 74-83(1999).

[12] Q Yu, S Huang, W Zhao et al. A fusion detection algorithm of small infrared target based on spatial-temporal accumulative difference. Journal of projectiles, rockets, missiles and guidance, 34, 181-189(2014).

[13] W Schmidt. Modified matched filter for cloud clutter suppression. IEEE transactions on pattern analysis and machine intelligence, 12, 594-600(1990).

[14] C Gao, D Meng, Y Yang et al. Infrared patch-image model for small target detection in a single image. IEEE transactions on image processing, 22, 5996-5009(2013).

[15] R Girshick, J Donahue, T Darrell. Region-based convolutional networks for accurate object detection and segmentation. IEEE Transactions on pattern analysis and machine intelligence, 38, 142-158(2016).

[16] R Girshick. Fast R-CNN, 1440-1448(2015).

[17] S Ren, K He, R Girshick et al. Faster RCNN: Towards real-time object detection with region proposal networks, 91-99(2015).

[18] K He, G Gkioxari, P Dollar. Mask R-CNN, 2980-2988(2017).

[19] J Redmon, S Divvala, R Gishick. You only look once: Unified, real-time object detection, 779-788(2016).

[20] R Joseph, A Farhadi. YOLO3: An incremental improvement. ArXiv preprint, 1-6(2018).

[21] M Liu, H Du, Y Zhao et al. Image small target detection based on deep learning with SNR controlled sample generation, 211-220(2017).

[22] L Lin, S Wang, Z Tang. Using deep learning to detect small targets in infrared oversampling images. Journal of Systems Engineering and Electronics, 5, 947-952(2018).

[23] G Ian, B Yoshua, C Aaron. Deep learning(2017).

[24] M Wang, B Liu, F Hassan. Factorized convolutional neural networks, 1-10(2017).

[25] L Sun, K Jia, D Yeung et al. Human action recognition using factorized spatio-temporal convolutional networks, 4597-4605(2015).

[26] K Simonyan, A Zisserman. Very deep convolutional networks for large-scale image recognition. ArXiv preprint, 1409-1556(2014).

[27] J Long, S Evan, D Trevor. Fully convolutional networks for semantic segmentation, 1-10(2015).

[28] S Kim. Double layered-background removal filter for detecting small infrared targets in heterogenous backgrounds. Journal of infrared, millimeter and terahertz waves, 32, 79-101(2011).

[29] C Guo, M Deyu, Y Yi et al. Infrared patch-image model for small target detection in a single image. IEEE transactions on image processing, 22, 4996-5009(2013).

[30] Y He, M Li, J Zhang et al. Small infrared target detection based on low-rank and sparse representation. Infrared physics & technology, 68, 98-109(2015).