Page 178 - 《应用声学》2023年第6期
P. 178
1288 2023 年 11 月
Multidimensional Systems and Signal Processing, 2020, [21] Wang J, Zhao M, Zou L, et al. Fish tracking based on im-
31(1): 21–47. proved TLD algorithm in real-world underwater environ-
[17] Ai J, Tian R, Luo Q, et al. Multi-scale rotation-invariant ment[J]. Marine Technology Society Journal, 2019, 53(3):
haar-like feature integrated CNN-based ship detection 80–89.
algorithm of multiple-target environment in SAR im- [22] Lecun Y, Bottou L, Bengio Y, et al. Gradient-based learn-
agery[J]. IEEE Transactions on Geoscience and Remote ing applied to document recognition[J]. Proceedings of the
Sensing, 2019, 57(12): 10070–10087. IEEE, 1998, 86(11): 2278–2324.
[18] Sarkar A, Biswas M K, Sharma K M S. A simple un- [23] Ravanbakhsh M, Shortis M, Shafait F, et al. Automated
supervised MRF model based image segmentation ap- fish detection in underwater images using shape-based
proach[J]. IEEE Transactions on Image Processing, 2000, level sets [J]. Photogrammetric Record, 2015, 30(149):
9(5): 801–812. 46–62.
[19] Hu M K. Visual pattern recognition by moment invari- [24] 杜伟东, 李海森, 魏玉阔, 等. 基于 SVM 的决策融合鱼类识别
ants[J]. IRE Transactions on Information Theory, 1962, 方法 [J]. 哈尔滨工程大学学报, 2015, 36(5): 623–627.
8(2): 179–187. Du Weidong, Li Haisen, Wei Yukuo, et al. Decision fu-
[20] 张铭钧, 张丽, 万媛媛. 基于特征融合的水下目标识别方法 [J]. sion fish identification using SVM and its experimental
哈尔滨工程大学学报, 2011, 32(9): 1190–1195. study[J]. Journal of Harbin Institute of Technology, 2015,
Zhang Mingjun, Zhang Li, Wan Yuanyuan. Underwater 36(5): 623–627.
target recognition based on feature fusion[J]. Journal of [25] Xu H, Yuan H. An SVM-based adaboost cascade classifier
Harbin Institute of Technology, 2011, 32(9): 1190–1195. for sonar image[J]. IEEE Access, 2020, 8: 115857–115864.