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Volumn 11, Issue 4, 2017, Pages

Ship detection in optical remote sensing images based on deep convolutional neural networks

Author keywords

convolutional neural networks; region proposal network; remote sensing images; ship detection

Indexed keywords

CONVOLUTION; NEURAL NETWORKS; REMOTE SENSING; SHIPS;

EID: 85029744465     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.JRS.11.042611     Document Type: Article
Times cited : (95)

References (28)
  • 1
    • 77956059560 scopus 로고    scopus 로고
    • A novel hierarchical method of ship detection from spaceborne optical image based on shape and texture features
    • C. Zhu et al., "A novel hierarchical method of ship detection from spaceborne optical image based on shape and texture features," IEEE Trans. Geosci. Remote Sens. 48(9), 3446-3456 (2010).
    • (2010) IEEE Trans. Geosci. Remote Sens. , vol.48 , Issue.9 , pp. 3446-3456
    • Zhu, C.1
  • 2
    • 0030192020 scopus 로고    scopus 로고
    • An automatic ship and ship wake detection system for spaceborne SAR images in coastal regions
    • K. Eldhuset, "An automatic ship and ship wake detection system for spaceborne SAR images in coastal regions," IEEE Trans. Geosci. Remote Sens. 34(4), 1010-1019 (1996).
    • (1996) IEEE Trans. Geosci. Remote Sens. , vol.34 , Issue.4 , pp. 1010-1019
    • Eldhuset, K.1
  • 3
    • 78649902112 scopus 로고    scopus 로고
    • A complete processing chain for ship detection using optical satellite imagery
    • C. Corbane et al., "A complete processing chain for ship detection using optical satellite imagery," Int. J. Remote Sens. 31(22), 5837-5854 (2010).
    • (2010) Int. J. Remote Sens. , vol.31 , Issue.22 , pp. 5837-5854
    • Corbane, C.1
  • 4
    • 84933055942 scopus 로고    scopus 로고
    • Unsupervised ship detection based on saliency and S-HOG descriptor from optical satellite images
    • S. Qi et al., "Unsupervised ship detection based on saliency and S-HOG descriptor from optical satellite images," IEEE Geosci. Remote Sens. Lett. 12(7), 1451-1455 (2015).
    • (2015) IEEE Geosci. Remote Sens. Lett. , vol.12 , Issue.7 , pp. 1451-1455
    • Qi, S.1
  • 5
    • 84861198145 scopus 로고    scopus 로고
    • A visual search inspired computational model for ship detection in optical satellite images
    • F. Bi et al., "A visual search inspired computational model for ship detection in optical satellite images," IEEE Geosci. Remote Sens. Lett. 9(4), 749-753 (2012).
    • (2012) IEEE Geosci. Remote Sens. Lett. , vol.9 , Issue.4 , pp. 749-753
    • Bi, F.1
  • 6
    • 84896388817 scopus 로고    scopus 로고
    • Ship detection in high-resolution optical imagery based on anomaly detector and local shape feature
    • Z. Shi et al., "Ship detection in high-resolution optical imagery based on anomaly detector and local shape feature," IEEE Trans. Geosci. Remote Sens. 52(8), 4511-4523 (2014).
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.8 , pp. 4511-4523
    • Shi, Z.1
  • 7
    • 84907463801 scopus 로고    scopus 로고
    • Compressed-domain ship detection on spaceborne optical image using deep neural network and extreme learning machine
    • J. Tang et al., "Compressed-domain ship detection on spaceborne optical image using deep neural network and extreme learning machine," IEEE Trans. Geosci. Remote Sens. 53(3), 1174-1185 (2015).
    • (2015) IEEE Trans. Geosci. Remote Sens. , vol.53 , Issue.3 , pp. 1174-1185
    • Tang, J.1
  • 8
    • 84881418493 scopus 로고    scopus 로고
    • Ship detection from optical satellite images based on sea surface analysis
    • G. Yang et al., "Ship detection from optical satellite images based on sea surface analysis," IEEE Geosci. Remote Sens. Lett. 11(3), 641-645 (2014).
    • (2014) IEEE Geosci. Remote Sens. Lett. , vol.11 , Issue.3 , pp. 641-645
    • Yang, G.1
  • 9
    • 84983329170 scopus 로고    scopus 로고
    • Ship detection in panchromatic images: A new method and its DSP implementation
    • Y. Yao et al., "Ship detection in panchromatic images: a new method and its DSP implementation," Proc. SPIE 9901, 99010Q (2016).
    • (2016) Proc. SPIE , vol.9901 , pp. 99010Q
    • Yao, Y.1
  • 10
    • 84975263405 scopus 로고    scopus 로고
    • Ship detection in spaceborne optical image with SVD networks
    • Z. Zou and Z. Shi, "Ship detection in spaceborne optical image with SVD networks," IEEE Trans. Geosci. Remote Sens. 54(10), 5832-5845 (2016).
    • (2016) IEEE Trans. Geosci. Remote Sens. , vol.54 , Issue.10 , pp. 5832-5845
    • Zou, Z.1    Shi, Z.2
  • 11
    • 84971382100 scopus 로고    scopus 로고
    • Ship rotated bounding box space for ship extraction from high-resolution optical satellite images with complex backgrounds
    • Z. Liu et al., "Ship rotated bounding box space for ship extraction from high-resolution optical satellite images with complex backgrounds," IEEE Geosci. Remote Sens. Lett. 13(8), 1074-1078 (2016).
    • (2016) IEEE Geosci. Remote Sens. Lett. , vol.13 , Issue.8 , pp. 1074-1078
    • Liu, Z.1
  • 12
    • 85015679297 scopus 로고    scopus 로고
    • Ship detection from optical satellite images based on saliency segmentation and structure-LBP feature
    • F. Yang, Q. Xu, and B. Li, "Ship detection from optical satellite images based on saliency segmentation and structure-LBP feature," IEEE Geosci. Remote Sens. Lett. 14, 602-606 (2017).
    • (2017) IEEE Geosci. Remote Sens. Lett. , vol.14 , pp. 602-606
    • Yang, F.1    Xu, Q.2    Li, B.3
  • 13
    • 85007472524 scopus 로고    scopus 로고
    • High-resolution optical satellite image simulation of ship target in large sea scenes
    • Y. Yao, Z. Jiang, and H. Zhang, "High-resolution optical satellite image simulation of ship target in large sea scenes," in IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS), pp. 1241-1244 (2016).
    • (2016) IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS) , pp. 1241-1244
    • Yao, Y.1    Jiang, Z.2    Zhang, H.3
  • 17
    • 84979492419 scopus 로고    scopus 로고
    • Convolutional neural network based automatic object detection on aerial images
    • I. Sevo and A. Avramovic, "Convolutional neural network based automatic object detection on aerial images," IEEE Geosci. Remote Sens. Lett. 13(5), 740-744 (2016).
    • (2016) IEEE Geosci. Remote Sens. Lett. , vol.13 , Issue.5 , pp. 740-744
    • Sevo, I.1    Avramovic, A.2
  • 18
    • 84986269041 scopus 로고    scopus 로고
    • RIFD-CNN: Rotation-invariant and fisher discriminative convolutional neural networks for object detection
    • G. Cheng, P. Zhou, and J. Han, "RIFD-CNN: rotation-invariant and fisher discriminative convolutional neural networks for object detection," in Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, pp. 2884-2893 (2016).
    • (2016) Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition , pp. 2884-2893
    • Cheng, G.1    Zhou, P.2    Han, J.3
  • 19
    • 85027047340 scopus 로고    scopus 로고
    • Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images
    • G. Cheng, P. Zhou, and J. Han, "Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images," IEEE Trans. Geosci. Remote Sens. 54(12), 7405-7415 (2016).
    • (2016) IEEE Trans. Geosci. Remote Sens. , vol.54 , Issue.12 , pp. 7405-7415
    • Cheng, G.1    Zhou, P.2    Han, J.3
  • 20
    • 84973571837 scopus 로고    scopus 로고
    • Weakly supervised learning based on coupled convolutional neural networks for aircraft detection
    • F. Zhang et al., "Weakly supervised learning based on coupled convolutional neural networks for aircraft detection," IEEE Trans. Geosci. Remote Sens. 54(9), 5553-5563 (2016).
    • (2016) IEEE Trans. Geosci. Remote Sens. , vol.54 , Issue.9 , pp. 5553-5563
    • Zhang, F.1
  • 21
    • 84962248343 scopus 로고    scopus 로고
    • Deep neural networks-based vehicle detection in satellite images
    • IEEE
    • Q. Jiang et al., "Deep neural networks-based vehicle detection in satellite images," in Int. Symp. on Bioelectronics and Bioinformatics (ISBB), pp. 184-187, IEEE (2015).
    • (2015) Int. Symp. on Bioelectronics and Bioinformatics (ISBB) , pp. 184-187
    • Jiang, Q.1
  • 22
    • 84969143021 scopus 로고    scopus 로고
    • Automatic detection and classification of oil tanks in optical satellite images based on convolutional neural network
    • Springer
    • Q. Wang et al., "Automatic detection and classification of oil tanks in optical satellite images based on convolutional neural network," in Int. Conf. on Image and Signal Processing, pp. 304-313, Springer (2016).
    • (2016) Int. Conf. on Image and Signal Processing , pp. 304-313
    • Wang, Q.1
  • 23
    • 84940765289 scopus 로고    scopus 로고
    • A hierarchical oil tank detector with deep surrounding features for high-resolution optical satellite imagery
    • L. Zhang, Z. Shi, and J. Wu, "A hierarchical oil tank detector with deep surrounding features for high-resolution optical satellite imagery," IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 8(10), 4895-1909 (2015).
    • (2015) IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. , vol.8 , Issue.10 , pp. 1909-4895
    • Zhang, L.1    Shi, Z.2    Wu, J.3
  • 24
    • 85010214408 scopus 로고    scopus 로고
    • Accurate object localization in remote sensing images based on convolu-tional neural networks
    • Y. Long et al., "Accurate object localization in remote sensing images based on convolu-tional neural networks," IEEE Trans. Geosci. Remote Sens. 55(5), 2486-2498 (2017).
    • (2017) IEEE Trans. Geosci. Remote Sens. , vol.55 , Issue.5 , pp. 2486-2498
    • Long, Y.1
  • 27
    • 84906489074 scopus 로고    scopus 로고
    • Visualizing and understanding convolutional networks
    • Springer
    • M. D. Zeiler and R. Fergus, "Visualizing and understanding convolutional networks," in European Conf. on Computer Vision, pp. 818-833, Springer (2014).
    • (2014) European Conf. on Computer Vision , pp. 818-833
    • Zeiler, M.D.1    Fergus, R.2
  • 28
    • 84911400494 scopus 로고    scopus 로고
    • Rich feature hierarchies for accurate object detection and semantic segmentation
    • R. Girshick et al., "Rich feature hierarchies for accurate object detection and semantic segmentation," in IEEE Conf. on Computer Vision and Pattern Recognition, pp. 580-587 (2014).
    • (2014) IEEE Conf. on Computer Vision and Pattern Recognition , pp. 580-587
    • Girshick, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.