Computer Science ›› 2019, Vol. 46 ›› Issue (3): 82-87.doi: 10.11896/j.issn.1002-137X.2019.03.010

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Research on Ship Detection Technology Based on Optical Remote Sensing Image

YIN Ya, HUANG Hai, ZHANG Zhi-xiang   

  1. (Electronic Engineering College,Naval University of Engineering,Wuhan 430033,China)
  • Received:2018-04-27 Revised:2018-08-24 Online:2019-03-15 Published:2019-03-22

Abstract: The detection of ships in optical remote sensing images is a research hotspot with broad applications in the field of remote sensing image processing and analysis.Based on the optical remote sensing image,this paper summarized the main processing methods used in each link around the general processing flow of ship detection,and analyzed the advantages and disadvantages of each method.Then,the paper pointed out the bottleneck problems faced by each link,expounded the limitations of natural image detection methods applied to ship target detection and discussed the challenges faced by current research.Finally,the relevant development trends were discussed.

Key words: Optical remote sensing image, Ship detection, Ship classification

CLC Number: 

  • TP399
[1] XIONG W,XU Y L,CUI Y Q,et al.Geometric Feature of Ship in High-resolution[J].Acta Photonica Sinica,2018,47(1):49-58.(in Chinese)
[2] HUANG J,JIANG Z G,ZHANG H P,et al.Remote Sensing Image Ship Target Detection Based on Convolutional Neural Network [J].Journal of Beijing University of Aeronautics and Astronautics,2017,43(9):1841-1848.(in Chinese)
[3] LIN Y D.Target Detection in Optical Remote Sensing Images with Complecated Background [D].Chengdu:Xi’an Southwest Jiaotong University,2017.(in Chinese)
[4] AI J,QI X,YU W,et al.A Novel Ship Wake CFAR Detection Algorithm Based on SCR Enhancement and Normalized Hough Transform[J].IEEE Geoscience & Remote Sensing Letters,2011,8(4):681-685.
[5] XU J,JI K,LEI L,et al.Ship Target Detection from Optical Sa
tellite Remote Sensing Image based on GLRT[J].Remote Sen sing Technology & Application,2012,27(4):616-622.
[6] ZHANG L,GAN C S,HU Y.Ship detection algorithm research on high resolution optical remote sensing image.Computer Engineering and Applications,2017,53(9):184-189.(in Chinese)
[7] LI X,LIU Y Q,BIAN C J,et al.Inshore ship detection method in optical remote sensing images using local salient characteristics[J].Journal of Image and Graphics,2016,21(5):657-664.(in Chinese)
[8] CHEN L,WANG Z R,HAN Z,et al.Vessel target detection and identification me-thod based on Optical remote sensing ima ge [J].Science & Technology Review,2017,35(20):77-85.(in Chinese)
[9] XU J Y.The Study of Ship Target Detection inOptical Satellite Remote Sensing Image[D].Changsha:National University of Defense Technology,2011.(in Chinese)
[10] JIN W C.The Ship Detection Based on Complex Background Optical Remote-Sensing Images[D].Harbin:Harbin
Engineering University,2013.(in Chinese)
[11] CORBANE C,NAJMAN L,PECOUL E,et al.A complete processing chain for ship detection using optical satellite imagery[J].International Journal of Remote Sensing,2010,31(22):5837-5854.
[12] JIN T,ZHANG J.Ship detection from high-resolution imagery based on land masking and cloud filtering[C]∥International Conference on Graphic and Image Processing.2015.
[13] WANG R.A Research of Thick Cloud Detection and Removal Method in Optical Remote Sensing Data [D].Guilin:Guilin University of Technology,2015.(in Chinese)
[14] CHU Z L,WANG Q H,CHEN H L.ShipAuto Detection Method
Based on Minimum ErrorThreshold Segmentation [J]. Computer Engineering,2007,33(11):239-241.(in Chinese)
[15] PENG J T.The Study of Ship target Detection in Optical Remote Sensing Image [D].Shanghai:Donghua University,2017.(in Chinese)
[16] SHUAI T,SUN K,WU X,et al.A ship target automatic detection method for high-resolution remote sensing[C]∥Geoscience and Remote Sensing Symposium.IEEE,2016:1258-1261.
[17] LI N,ZHANG Q,ZHAO H,et al.Ship detection in high spatial resolution remote sensing image based on improved sea-land segmentation[C]∥International Symposium on Optoelectronic Technology & Application.International Society for Optics and Photonics.2016.
[18] LONG M,SOOMRO N Q,JINJING S,et al.Hierarchical Sea-Land Segmentation for Panchromatic Remote Sensing Imagery[J].Mathematical Problems in Engineering,2017,2017:1-8.
[19] YANG G,LI B,JI S,et al.Ship Detection From Optical Satellite Images Based on Sea Surface Analysis[J].IEEE Geoscience & Remote Sensing Letters,2013,11(3):641-645.
[20] BE BINAR B.Inshore ship detection in high-resolution satellite images:approximation of harbors using sea-land segmentation[C]∥Image and Signal Processing for Remote Sensing XXI.International Society for Optics and Photonics,2015:725-727.
[21] CHENG L,SHOU H,LI H.A Water/Land Segmentation Algorithm Based on an Improved Chan-Vese Model with Edge Constraints of Complex Wavelet Domain[J].Chinese Journal of Electronics,2015,24(2):361-365.
[22] AKTA R,CAN G,VURAL F T Y.Edge-aware segmentation in satellite imagery:A case study of shoreline detection[C]∥ Pattern Recognition in Remote Sensing.2012:1-4.
[23] HU Q,ZHANG F,LIU R Y,et al.Land-sea boundary extrac
tion based o gradient vector flow and active contour model[J].Journal of Zhejiang University(Science Edition),2013,40(6):698-704.(in Chinese)
[24] ZHANG Y,XU Z Y,CHEN W F,et al.Faint Targets Detection Based on Retinex Theory and Gray Morphological Filtering Method[J].Infrared Technology,2010,32(1):46-51.
[25] SONG M Z,QU H S,JIN G.Weak Ship Target Detection of Noisy Optical Remote Sensing Image on Sea Surface [J].Acta Optica Sinica,2017,37(10):153-160.(in Chinese)
[26] WANG H L,ZHU M,LIN C B,et al.Ship detection of complex sea background in optical remote sensing images[J].Optics and Precision Engineering,2017,26(3):723-732.(in Chinese)
[27] DING P,ZHANG Y,JIA P,et al.Ship detection on sea surface based on multi-feature and multi-scale visual attention[J].Optics and Precision Engineering,2017,25(9):2461-2468.(in Chinese)
[28] LIU Y,CUI H,LI G.A Novel Method for Ship Detection and Classification on Remote Sensing Images[C]∥International Conference on Artificial Neural Networks.Springer,Cham,2017:556-564.
[29] LIU G,ZHANG Y,ZHENG X,et al.A New Method on Inshore Ship Detection in High-Resolution Satellite Images Using Shape and Context Information[J].IEEE Geoscience & Remote Sen- sing Letters,2013,11(3):617-621.
[30] XU J,SUN X,ZHANG D,et al.Automatic Detection of Inshore Ships in High-Resolution Remote Sensing Images Using Robust Invariant Generalized Hough Transform[J].IEEE Geoscience & Remote Sensing Letters,2014,11(12):2070-2074.
[31] HARVEY N R,PORTER R,THEILER J.Ship detection in sa
tellite imagery using rank-order grayscale hit-or-miss transforms[J].Proceedings of SPIE-The International Society for Optical Engineering,2010,7701:770102.
[32] XU J,FU K,SUN X.An Invariant Generalized Hough Transform Based Method of Inshore Ships Detection[C]∥International Symposium on Image and Data Fusion.2011.
[33] LU G M.Research on Fast RGA-Based Ship-Target Detection for Optical Remote Sensing Images[D].Chengdu:Southwest Jiaotong University,2017.(in Chinese)
[34] LIU F,SHEN T S,MA X X,et al.Ship recognition based on multi-band deep neural network[J].Optics and Precision Engineering,2017,25(11):2939-2946.(in Chinese)
[35] TANG J,DENG C,HUANG G B,et al.Compressed-Domain Ship Detection on Spaceborne Optical Image Using Deep Neural Network and Extreme Learning Machine[J].IEEE Transactions on Geoscience & Remote Sensing,2014,53(3):1174-1185.
[36] ZOU Z,SHI Z.Ship Detection in Spaceborne Optical Image With SVD Networks[J].IEEE Transactions on Geoscience & Remote Sensing,2016,54(10):5832-5845.
[37] ZHANG R,YAO J,ZHANG K,et al.S-Cnn Ship Detection from High-Resolution Remote Sensing Images[J].ISPRS-International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences,2016,XLI-B7:423-430.
[38] QI S,MA J,LIN J,et al.Unsupervised Ship Detection Based on Saliency and S-HOG Descriptor From Optical Satellite Images[J].IEEE Geoscience & Remote Sensing Letters,2015,12(7):1451-1455.
[39] YANG F,XU Q,LI B.Ship Detection From Optical Satellite Images Based on Saliency Segmentation and Structure-LBP Feature[J].IEEE Geoscience & Remote Sensing Letters,2017, 14(5):602-606.
[40] YANG F,XU Q,GAO F,et al.Ship detection from optical satellite images based on visual search mechanism[C]∥Geoscience and Remote Sensing Symposium.IEEE,2015:3679-3682.
[41] WANG H L,ZHU M,LIN C B,et al.Ship detection in optical remote sensing image based on visual saliency and AdaBoost classifier[J].Optoelectronics Letters,2017,13(2):151-155.
[42] YAO Y,JIANG Z,ZHANG H,et al.Ship detection in panchromatic images:a new method and its DSP implementation[C]∥Isprs International Conference on Computer Vision in Remote Sensing.International Society for Optics and Photonics,2016.
[43] PONT-TUSET J,ARBELEZ P,BARRON J T,et al.Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2017,39(1):128-140.
[44] CHENG G,HAN J.A Survey on Object Detection in Optical Remote Sensing Images[J].Isprs Journal of Photogrammetry & Remote Sensing,2016,117:11-28.
[45] CHAN T H,JIA K,GAO S,et al.PCANet:A Simple Deep Learning Baseline for Image Classification[J].IEEE Transactions on Image Processing,2015,24(12):5017-5032.
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