[1] LENG X G, JI K F, XING X W, et al.. Area ratio invariant feature group for ship detection in sar imagery [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11, 2376-2388.

    LENG X G, JI K F, XING X W, et al.. Area ratio invariant feature group for ship detection in sar imagery [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11, 2376-2388.

[2] ZHOU H T, ZHUANG Y, CHEN L, et al.. Signal and Information Processing, Networking and Computers [M]. Singapore: Springer, 2018.

    ZHOU H T, ZHUANG Y, CHEN L, et al.. Signal and Information Processing, Networking and Computers [M]. Singapore: Springer, 2018.

[3] 金志刚，李静昆. 基于对象性和多层线性模型的协同显著性检测[J]. 光学 精密工程，2019，27(8)：1845-1853. JIN ZH G, LI J K. Co-saliency detection based on objectness and multi-layer linear model [J]. Opt. Precision Eng., 2019, 27(8): 1845-1853. (in Chinese)

    金志刚，李静昆. 基于对象性和多层线性模型的协同显著性检测[J]. 光学 精密工程，2019，27(8)：1845-1853. JIN ZH G, LI J K. Co-saliency detection based on objectness and multi-layer linear model [J]. Opt. Precision Eng., 2019, 27(8): 1845-1853. (in Chinese)

[4] 刘冬梅，常发亮. 结合Retinex校正和显著性的主动轮廓图像分割[J]. 光学 精密工程，2019，27(7)：1593-1600.LIU D M, CHANG F L. Active contour model for image segmentation based on Retinex correction and saliency [J]. Opt. Precision Eng., 2019, 27(7): 1593-1600. (in Chinese)

    刘冬梅，常发亮. 结合Retinex校正和显著性的主动轮廓图像分割[J]. 光学 精密工程，2019，27(7)：1593-1600.LIU D M, CHANG F L. Active contour model for image segmentation based on Retinex correction and saliency [J]. Opt. Precision Eng., 2019, 27(7): 1593-1600. (in Chinese)

[5] 徐芳,刘晶红,曾冬冬,等. 基于视觉显著性的无监督海面舰船检测与识别[J].光学 精密工程,2017，25(5):1300-1311. 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)

    徐芳,刘晶红,曾冬冬,等. 基于视觉显著性的无监督海面舰船检测与识别[J].光学 精密工程,2017，25(5):1300-1311. 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)

[6] 董超,刘晶红,徐芳,等. 光学遥感图像舰船目标快速检测方法[J].吉林大学学报(工学版)，2019，49(4):1369-1376. DONG CH, LIU J H, XU F, et al.. Fast ship detection in optical remote sensing images[J]. Journal of Jilin University (Engineering and Technology Edition), 2019, 49 (4):1369-1376. (in Chinese)

    董超,刘晶红,徐芳,等. 光学遥感图像舰船目标快速检测方法[J].吉林大学学报(工学版)，2019，49(4):1369-1376. DONG CH, LIU J H, XU F, et al.. Fast ship detection in optical remote sensing images[J]. Journal of Jilin University (Engineering and Technology Edition), 2019, 49 (4):1369-1376. (in Chinese)

[7] LIU W C, MA L, CHEN H. Arbitrary-oriented ship detection framework in optical remote-sensing images[J]. IEEE Geoscience and Remote Sensing Letters, 2018, 15, 937- 941.

    LIU W C, MA L, CHEN H. Arbitrary-oriented ship detection framework in optical remote-sensing images[J]. IEEE Geoscience and Remote Sensing Letters, 2018, 15, 937- 941.

[8] WU F, ZHOU Z Q, WANG B, et al.. Inshore ship detection based on convolutional neural network in optical satellite images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11, 4005-4015.

    WU F, ZHOU Z Q, WANG B, et al.. Inshore ship detection based on convolutional neural network in optical satellite images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11, 4005-4015.

[9] CHENG G, ZHOU P C, HAN J W. Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54, 7405-7415.

    CHENG G, ZHOU P C, HAN J W. Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54, 7405-7415.

[10] HOU X D, ZHANG L. Saliency detection: a spectral residual approach [C]. IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, 2007:1-8.

    HOU X D, ZHANG L. Saliency detection: a spectral residual approach [C]. IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, 2007:1-8.

[11] WONG J A, HARTIGAN H A. Algorithm AS 136: A K-means clustering algorithm[J]. Journal of the Royal Statistical Society. Series C (Applied Statistics), 1979, 28 (1):100-108.

    WONG J A, HARTIGAN H A. Algorithm AS 136: A K-means clustering algorithm[J]. Journal of the Royal Statistical Society. Series C (Applied Statistics), 1979, 28 (1):100-108.

[12] TAKACS G, CHANDRASEKHAR V, TSAI S, et al.. Unied real-time tracking and recognition with rotation-invariant fast features[C]. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, 2010: 934-941.

    TAKACS G, CHANDRASEKHAR V, TSAI S, et al.. Unied real-time tracking and recognition with rotation-invariant fast features[C]. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, 2010: 934-941.

[13] OTSU, N. A threshold selection method from gray-level histograms [J]. IEEE Transactions on Systems Man & Cybernetics, 1979, 9, 62-66.

    OTSU, N. A threshold selection method from gray-level histograms [J]. IEEE Transactions on Systems Man & Cybernetics, 1979, 9, 62-66.

[14] DALAL N, TRIGGS B. Histograms of oriented gradients for human detection [C]. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, 2005: 886-893.

    DALAL N, TRIGGS B. Histograms of oriented gradients for human detection [C]. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, 2005: 886-893.

[15] WANG J, JIANG H , YUAN Z , et al.. Salient object detection: A discriminative regional feature integration approach[J]. International Journal of Computer Vision, 2017, 123(2):251-268.

    WANG J, JIANG H , YUAN Z , et al.. Salient object detection: A discriminative regional feature integration approach[J]. International Journal of Computer Vision, 2017, 123(2):251-268.

[16] ERDEM E, ERDEM A. Visual saliency estimation by nonlinearly integrating features using region covariances[J]. Journal of Vision, 2013, 13(4):1-20.

    ERDEM E, ERDEM A. Visual saliency estimation by nonlinearly integrating features using region covariances[J]. Journal of Vision, 2013, 13(4):1-20.