[1] [1] CAO D SH, SHI ZH H, LIN G Y. Development of airborne ocean modified Dyson hyper spectral imager［J］. Opt. Precision Eng., 2017, 25(6): 1403-1409. (in Chinese)

          CAO D SH, SHI ZH H, LIN G Y. Development of airborne ocean modified Dyson hyper spectral imager［J］. Opt. Precision Eng., 2017, 25(6): 1403-1409. (in Chinese)

[2] [2] ZHAO Y F, LI J Y, ZHANG Y, et al.. A space-based infrared detection scene generation system for moving objects with sea background［J］. Opt. Precision Eng., 2017, 25(4): 487-493. (in Chinese)

          ZHAO Y F, LI J Y, ZHANG Y, et al.. A space-based infrared detection scene generation system for moving objects with sea background［J］. Opt. Precision Eng., 2017, 25(4): 487-493. (in Chinese)

[3] [3] GAO X J, WAN Y CH, ZHENG SH Y, et al.. Real time automatic detection of cloud in aerial photography［J］. Spectroscopy and Spectral Analysis, 2014, 34(7): 1909-1913. (in Chinese)

          GAO X J, WAN Y CH, ZHENG SH Y, et al.. Real time automatic detection of cloud in aerial photography［J］. Spectroscopy and Spectral Analysis, 2014, 34(7): 1909-1913. (in Chinese)

[4] [4] YIN Y, HUANG H, ZHANG ZH X. Research on ship detection technology based on optical remote sensing image［J］. Computer Science, 2019, 46(3): 82-87. (in Chinese)

          YIN Y, HUANG H, ZHANG ZH X. Research on ship detection technology based on optical remote sensing image［J］. Computer Science, 2019, 46(3): 82-87. (in Chinese)

[5] [5] SHI P. The Ship Detection Based on Optical Remote Sensing Images ［D］.Hefei: University of Science and Technology of China, 2010.(in Chinese)

          SHI P. The Ship Detection Based on Optical Remote Sensing Images ［D］.Hefei: University of Science and Technology of China, 2010.(in Chinese)

[6] [6] XU F, LIU J H, ZENG D D, et al.. Detection and identification of unsupervised ships and warships on sea surface based on visual saliency ［J］. Opt. Precision Eng., 2017, 25(5): 1300-1311. (in Chinese)

          XU F, LIU J H, ZENG D D, et al.. Detection and identification of unsupervised ships and warships on sea surface based on visual saliency ［J］. Opt. Precision Eng., 2017, 25(5): 1300-1311. (in Chinese)

[7] [7] LIU F, SHEN T S, MA X X, et al.. Ship recognition based on multi-band deep neural network ［J］. Opt. Precision Eng., 2017, 25(11): 2939-2946. (in Chinese)

          LIU F, SHEN T S, MA X X, et al.. Ship recognition based on multi-band deep neural network ［J］. Opt. Precision Eng., 2017, 25(11): 2939-2946. (in Chinese)

[8] [8] ZHANG K, SHENG Y H, FU S X, et al.. Multi-view VLL matching algorithm for optical aerial images based on constraint of object space positioning consistency ［J］. Opt. Precision Eng., 2018, 26(7): 1784-1793. (in Chinese)

          ZHANG K, SHENG Y H, FU S X, et al.. Multi-view VLL matching algorithm for optical aerial images based on constraint of object space positioning consistency ［J］. Opt. Precision Eng., 2018, 26(7): 1784-1793. (in Chinese)

[9] [9] CHU SH L, WANG Q H, CHEN H L, et al.. Ship auto detection method based on minimum error threshold segmentation ［J］. Computer Engineering, 2007, 33(11): 239-241. (in Chinese)

          CHU SH L, WANG Q H, CHEN H L, et al.. Ship auto detection method based on minimum error threshold segmentation ［J］. Computer Engineering, 2007, 33(11): 239-241. (in Chinese)

[10] [10] SHUAI T, SUN K, WU X, et al.. A ship target automatic detection method for high-resolution remote sensing ［C］. IEEE International Geoscience and Remote Sensing Symposium, Beijing, P.R. China: IGARSS, 2016: 1258-1261.

          SHUAI T, SUN K, WU X, et al.. A ship target automatic detection method for high-resolution remote sensing ［C］. IEEE International Geoscience and Remote Sensing Symposium, Beijing, P.R. China: IGARSS, 2016: 1258-1261.

[11] [11] LI X Q. Research on Target Detection of Large Format Ocean Satellite Remote Sensing Images ［D］. Shenzhen: Shenzhen University, 2017.(in Chinese)

          LI X Q. Research on Target Detection of Large Format Ocean Satellite Remote Sensing Images ［D］. Shenzhen: Shenzhen University, 2017.(in Chinese)

[12] [12] YU P. Research on the Ship Target Recognition in High Resolution Optical Remote Sensing Image ［D］. Changchun: Jilin University, 2011.(in Chinese)

          YU P. Research on the Ship Target Recognition in High Resolution Optical Remote Sensing Image ［D］. Changchun: Jilin University, 2011.(in Chinese)

[13] [13] WANG H Y, WU W Q, XUE X F, et al.. Star image extracting based on local region growing around peaks in blocks［J］. Opt. Precision Eng., 2012, 20(11): 2507-2515. (in Chinese)

          WANG H Y, WU W Q, XUE X F, et al.. Star image extracting based on local region growing around peaks in blocks［J］. Opt. Precision Eng., 2012, 20(11): 2507-2515. (in Chinese)

[14] [14] JIANG X, CHEN W X, ZHU M, et al.. Research on multi-target serial-number based on least square principle in real-time recursively［J］. Electronic Measurement Technology, 2020, 39(2): 59-64. (in Chinese)

          JIANG X, CHEN W X, ZHU M, et al.. Research on multi-target serial-number based on least square principle in real-time recursively［J］. Electronic Measurement Technology, 2020, 39(2): 59-64. (in Chinese)

[15] [15] PENG J T. The Study of Ship Target Detection in Optical Remote Sensing Images ［D］. Shanghai: Donghua University, 2017.(in Chinese)

          PENG J T. The Study of Ship Target Detection in Optical Remote Sensing Images ［D］. Shanghai: Donghua University, 2017.(in Chinese)

[16] [16] PEI H F. Researches for Ship Identification in Aerial Images ［D］. Harbin: Harbin Engineering University, 2011.(in Chinese)

          PEI H F. Researches for Ship Identification in Aerial Images ［D］. Harbin: Harbin Engineering University, 2011.(in Chinese)

[17] [17] GROMPONE R, JAKUBOWICZ J, MOREL J, et al.. LSD: A fast line segment detector with a false detection control［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(4): 722-732.

          GROMPONE R, JAKUBOWICZ J, MOREL J, et al.. LSD: A fast line segment detector with a false detection control［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(4): 722-732.

[18] [18] WANG L, PAN C. Robust level set image segmentation via a local correntropy-based K-means clustering［J］. Pattern Recognition, 2014, 47(5): 1917-1925.

          WANG L, PAN C. Robust level set image segmentation via a local correntropy-based K-means clustering［J］. Pattern Recognition, 2014, 47(5): 1917-1925.

[19] [19] ZHANG L, FENG CH. Improved ratio of exponentially weighted averages operator combined with wavelet transform for sea-land segmentation in remote sensing image［J］. Science Technology and Engineering, 2017, (36): 211-216. (in Chinese)

          ZHANG L, FENG CH. Improved ratio of exponentially weighted averages operator combined with wavelet transform for sea-land segmentation in remote sensing image［J］. Science Technology and Engineering, 2017, (36): 211-216. (in Chinese)

[20] [20] GE X J, ZHANG X. A segmentation method of land and sea in large field of view remote sensing image based on combination of rough and fine segmentation strategies ［J］. China New Telecommunications, 2019, (13): 90-93. (in Chinese)

          GE X J, ZHANG X. A segmentation method of land and sea in large field of view remote sensing image based on combination of rough and fine segmentation strategies ［J］. China New Telecommunications, 2019, (13): 90-93. (in Chinese)

[21] [21] WANG H L, ZHU M, LIN CH B, et al.. Ship detection of complex sea background in optical remote sensing images［J］. Opt. Precision Eng., 2018, 26(3): 723-732. (in Chinese)

          WANG H L, ZHU M, LIN CH B, et al.. Ship detection of complex sea background in optical remote sensing images［J］. Opt. Precision Eng., 2018, 26(3): 723-732. (in Chinese)

[22] [22] GONG M, LIU Y Y, LI G N. Remote sensing image ship detection method of improved YOLO-v3［J］. Electronics Optics & Control, 2020, (5): 102-107. (in Chinese)

          GONG M, LIU Y Y, LI G N. Remote sensing image ship detection method of improved YOLO-v3［J］. Electronics Optics & Control, 2020, (5): 102-107. (in Chinese)