Open Access
Issue
JNWPU
Volume 41, Number 1, February 2023
Page(s) 153 - 159
DOI https://doi.org/10.1051/jnwpu/20234110153
Published online 02 June 2023
  1. WANG H, GAO N, XIAO Y, et al. Image feature extraction based on improved FCN for UUV side-scan sonar[J]. Marine Geophysical Research, 2020, 41(4): 1–17 [Google Scholar]
  2. ZHAO Jianhu, SHANG Xiaodong, ZHANG Hongmei. Recovering seabed topography from sonar image with constraint of sounding data[J]. Journal of China University of Mining & Technology, 2017, 46(2): 443–448. [Article] (in Chinese) [Google Scholar]
  3. LUO Junjie, CHI Cheng, ZHANG Chunhua, et al. A time-domain compression synthetic aperture super-resolution underwater acoustic imaging algorithm[J]. Acta Acustica, 2021, 46(6): 1144–1152. [Article] (in Chinese) [Google Scholar]
  4. DIVAS K, HELGE R, DAVID S, et al. Object detection in sonar images[J]. Electronics, 2020, 9(7): 1180. [Article] [CrossRef] [Google Scholar]
  5. GRABEK J, CYGANEK B. Speckle noise filtering in side-scan sonar images based on the tucker tensor decomposition[J]. Sensors, 2019, 19(13): 2903. [Article] [Google Scholar]
  6. ZHAO J, MAI D, ZHANG H, et al. Automatic detection and segmentation on gas plumes from multibeam water column images[J]. Remote Sensing, 2020, 12(18): 3085. [Article] [Google Scholar]
  7. HUO G, WU Z, LI J. Underwater object classification in side-scan sonar images using deep transfer learning and semisynthetic training data[J]. IEEE Access, 2020, 8: 47407–47418. [Article] [CrossRef] [Google Scholar]
  8. SONG Y, LIU P. Segmentation of sonar images with intensity inhomogeneity based on improved MRF[J]. Applied Acoustics, 2020, 158: 107051. [Article] [Google Scholar]
  9. GAO Shan, XU Jian, ZHANG Peng. Automatic recognition of mine targets in sonar images[J]. Mine Warfare and Ship Protection, 2006(1): 42–45. [Article] (in Chinese) [Google Scholar]
  10. WANG X, LI Q, YU Y, et al. Evaluation criterion of underwater object clustering segmentation with pulse-coupled neural network[J]. IET Image Processing, 2020, 14(16): 4076–4085. [Article] [CrossRef] [Google Scholar]
  11. LI J, JIANG P, ZHU H. A local region-based level set method with Markov random field for side-scan sonar image multi-level segmentation[J]. IEEE Sensors Journal, 2020, 21(1): 510–519 [Google Scholar]
  12. LI K, LIU Z, LU J, et al. Detection algorithm of the shipwreck target based on residual contour information[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2021, 35(2): 2150006. [Article] [Google Scholar]
  13. FAN Z, XIA W, LIU X, et al. Detection and segmentation of underwater objects from forward-looking sonar based on a modified mask RCNN[J]. Signal, Image and Video Processing, 2021, 15(6): 1135–1143. [Article] [Google Scholar]
  14. WANG J, JIANG J. SA-net: a deep spectral analysis network for image clustering[J]. Neurocomputing, 2020, 383: 10–23. [Article] [Google Scholar]
  15. ZHANG C, ZHU G, LIAN B, et al. Image segmentation based on multiscale fast spectral clustering[J]. Multimedia Tools and Applications, 2021, 80(16): 24969–24994. [Article] [CrossRef] [Google Scholar]
  16. LI Xin, LI Zhemin, WEI Juhui, et al. Cross-domain adaptive learning model based on feature separation[J]. Journal of Computer Research and Development, 2022, 59(1): 105–117. [Article] (in Chinese) [Google Scholar]
  17. LIU P, SONG Y. Segmentation of sonar imagery using convolutional neural networks and Markov random field[J]. Multidimensional Systems and Signal Processing, 2020, 31(1): 1–27 [CrossRef] [Google Scholar]
  18. LI D W, CHEN J B, QIU M L, et al. The evaluation and analysis of the entropy weight method and the fractional grey model study on the development level of modern agriculture in huizhou[J]. Mathematical Problems in Engineering, 2021, 2021(10): 1–8 [Google Scholar]
  19. GUO Haitao, TIAN Tan, ZHANG Chuntian. Multi-region segmentation of sonar image based on fuzzy clustering[J]. Marine Technology, 2004(3): 39–40. [Article] (in Chinese) [Google Scholar]

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