[1] [1] CHEN Y,HUANG H P, YE S W. Research on acoustic monitoring technology of laser paint removal process［J］. Applied Laser, 2020, 40(6): 1153-1159.

[2] [2] KHEDR A, PAPADAKIS V, POULI P, et al. The potential use of plume imaging for real-time monitoring of laser ablation cleaning of stonework［J］. Applied Physics B, 2011, 105(2): 485-492.

[3] [3] SHI T Y, ZHOU L Z, WANG C M, et al. Machine vision-based real-time monitor system for laser cleaning aluminum alloy［J］. Chinese Journal of Lasers, 2019, 46(4): 0402007.

[4] [4] ZHANG M Q, DAI H X,ZHENG Y H, et al. Research on laser cleaning detection of train paint coating based on color conversion［J］. Applied Laser, 2020, 40(4): 644-648.

[5] [5] RAMIL A,LPEZ A J, POZO-ANTONIO J S, et al. A computer vision system for identification of granite-forming minerals based on RGB data and artificial neural networks［J］. Measurement, 2018, 117: 90-95.

[6] [6] MILLS B, HEATH D J,GRANT-JACOB J A, et al. Image-based monitoring of femtosecond laser machining via a neural network［J］. Journal of Physics: Photonics, 2018, 1(1): 015008.

[7] [7] SUN B, XU C, HE J, et al. Cleanliness prediction of rusty iron in laser cleaning using convolutional neural networks［J］.Applied Physics A, 2020, 126(3): 1-9.

[8] [8] ZHOU J Y, ZHAO Y M. Application of convolution neural network in image classification and object detection［J］. Computer Engineering and Applications, 2017, 53(13): 34-41.

[9] [9] WANG H J, LIU W W, YU Y, et al. Research status and prospect of laser cleaning of metal surface contamination［J］. Internal Combustion Engine & Parts, 2016(8): 75-78.

[10] [10] ZHOU Z H. Machine learning ［M］. Beijing: Tsinghua University Press, 2016:113-115.

[11] [11] HE K M, ZHANG X Y, REN S Q, et al. Deep residual learning for image recognition［C］//2016 IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, NV, USA: IEEE, 2016: 770-778.

[12] [12] BELLO I, FEDUS W, DU X, et al. Revisiting resnets: Improved training and scaling strategies［EB/OL］. (2021-04-13)［2021-05-02］. https://arxiv.org/abs/2103.07579.

[13] [13] LI H. Statistical learning methods［M］. 2nd ed. Beijing: Tsinghua University Press,2019: 28-30.