Performance Evaluation of Boosted 2-Stream TCRNet

Author:

Hassan Shah,Jiban Md Jibanul Haque,Mahalanobis Abhijit

Publisher

Springer Nature Singapore

Reference9 articles.

1. Ratches JA (2011) Review of current aided/automatic target acquisition technology for military target acquisition tasks. Optical Eng 50(7):072001

2. Gundogdu E, Koç A, Alatan AA (2017) Automatic target recognition and detection in infrared imagery under cluttered background. In: Target and background signatures III, vol 10432. International Society for Optics and Photonics, pp 104320J

3. Jiban MJH, Hassan S, Mahalanobis A (2021) Two-stream boosted TCRNet for range-tolerant infra-red target detection. In: IEEE International Conference on Image Processing (ICIP). IEEE, pp 1049–1053

4. McIntosh B, Venkataramanan S, Mahalanobis A (2020) Infrared target detection in cluttered environments by maximization of a target to clutter ratio (TCR) metric using a convolutional neural network. IEEE Trans Aerosp Electronic Syst 57(1):485–496

5. Ioffe S, Szegedy C (2015) Batch normalization: accelerating deep network training by reducing internal covariate shift. In: International conference on machine learning. PMLR, pp 448–456

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