Citation: | YAN R H, XIE H C, HUA M H, et al. Wide-area ship target recognition method based on motion and appearance features[J]. Chinese Journal of Ship Research, 2022, 17(1): 227–234 doi: 10.19693/j.issn.1673-3185.02320 |
[1] |
吴飞, 李志特. 新时期中国内河航运发展问题分析[J]. 珠江水运, 2020(15): 87–88.
WU F, LI Z T. Analysis of China's inland waterway development in the New Era[J]. Pearl River Water Transport, 2020(15): 87–88 (in Chinese).
|
[2] |
罗本成, 张姝慧. 新形势新要求驱动内河航运发展步入“快车道”[N]. 中国水运报, 2020-08-17(002).
LUO B C, ZHANG S H. The new situation and new requirements drive the development of inland waterway into the "fast lane"[N]. China Water Transport News, 2020-08-17(002) (in Chinese).
|
[3] |
许正路. 5米以下游船水上旅游活动安全监管研究[J]. 中国海事, 2014(9): 49–52. doi: 10.3969/j.issn.1673-2278.2014.09.021
XU Z L. Research on the water sightseeing safety supervision of sightseeing boat below 5 meters in scenic spots[J]. China Maritime Safety, 2014(9): 49–52 (in Chinese). doi: 10.3969/j.issn.1673-2278.2014.09.021
|
[4] |
李峰, 易宏. 无人水面艇在水上交通安全监管中的应用[J]. 中国舰船研究, 2018, 13(6): 27–33.
LI F, YI H. Application of USV to maritime safety supervision[J]. Chinese Journal of Ship Research, 2018, 13(6): 27–33 (in Chinese).
|
[5] |
严新平, 王树武, 马枫. 智能货运船舶研究现状与发展思考[J]. 中国舰船研究, 2021, 16(1): 1–6.
YAN X P, WANG S W, MA F. Review and prospect for intelligent cargo ships[J]. Chinese Journal of Ship Research, 2021, 16(1): 1–6 (in Chinese).
|
[6] |
杨英. 基于视频图像的船舶流量检测方法研究[D]. 武汉: 武汉理工大学, 2019.
YANG Y. Research on ship flow detection method based on video image[D]. Wuhan: Wuhan University of Technology, 2019 (in Chinese).
|
[7] |
XU C, YIN C J, WANG D Z, et al. Fast ship detection combining visual saliency and a cascade CNN in SAR images[J]. IET Radar, Sonar & Navigation, 2020, 14(12): 1879–1887.
|
[8] |
CORDOVA A W A, QUISPE W C, INCA R J C, et al. New approaches and tools for ship detection in optical satellite imagery[J]. Journal of Physics, Conference Series, 2020, 1642(1): 012003.
|
[9] |
CAO C Q, WU J, ZENG X D, et al. Research on airplane and ship detection of aerial remote sensing images based on convolutional neural network[J]. Sensors, 2020, 20(17): 4696. doi: 10.3390/s20174696
|
[10] |
马吉顺, 吴天明, 韩鹏, 等. 基于YOLO 检测算法的船舶识别定位系统[J]. 新型工业化, 2019, 9(9): 33–37.
MA J S, WU T M, HAN P, et al. Ship identification and positioning system based on YOLO algorithm[J]. The Journal of New Industrialization, 2019, 9(9): 33–37 (in Chinese).
|
[11] |
高岚. 基于视频的多运动目标检测算法研究[D]. 沈阳: 沈阳理工大学, 2008.
GAO L. Research on multiple moving objects detection algorithm based on the video[D]. Shenyang: Shenyang Ligong University, 2008 (in Chinese).
|
[12] |
乐英, 赵志成. 基于背景差分法的多运动目标检测与分割[J]. 中国工程机械学报, 2020, 18(4): 305–309.
LE Y, ZHAO Z C. Multi-moving object detection and segmentation based on background difference method[J]. Chinese Journal of Construction Machinery, 2020, 18(4): 305–309 (in Chinese).
|
[13] |
魏俊杰. 水岸图像的中值滤波和分割算法的研究及实现[D]. 长春: 吉林大学, 2011.
WEI J J. On study and realization of median filtering and segmentation algorithm of waterfront images[D]. Changchun: Jilin University, 2011 (in Chinese).
|
[14] |
李冬琴, 王丽铮, 王呈方. 支持向量机回归方法在船型要素建模中的应用[J]. 中国舰船研究, 2007, 2(3): 18–21,39. doi: 10.3969/j.issn.1673-3185.2007.03.004
LI D Q, WANG L Z, WANG C F. Method of support vector regression in modeling ship principal particulars [J]. Chinese Journal of Ship Research, 2007, 2(3): 18 –21,39 (in Chinese). doi: 10.3969/j.issn.1673-3185.2007.03.004
|
[15] |
REDMON J, DIVVALA S, GIRSHICK R, et al. You only look once: Unified, real-time object detection[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, NV, USA: IEEE, 2016: 779-788.
|
[16] |
LU S Y, LIU J H, WANG B Z, et al. A novel object detection algorithm in video[C]//Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering (WCSE 2019). Hong Kong, China:Science and Engineering Institute (SCIEI), 2019:8.
|