中国激光, 2012, 39 (11): 1114001, 网络出版: 2012-10-25   

基于区域增长的遥感影像视觉显著目标快速检测

Fast Detection of Visual Saliency Regions in Remote Sensing Image based on Region Growing
张立保 1,2,*
作者单位
1 北京师范大学信息科学与技术学院, 北京 100875
2 北京师范大学遥感科学国家重点实验室, 北京 100875
引用该论文

张立保. 基于区域增长的遥感影像视觉显著目标快速检测[J]. 中国激光, 2012, 39(11): 1114001.

Zhang Libao. Fast Detection of Visual Saliency Regions in Remote Sensing Image based on Region Growing[J]. Chinese Journal of Lasers, 2012, 39(11): 1114001.

参考文献

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[5] L. Itti, C. Koch. Computational modeling of visual attention[J]. Nature Reviews Neuroscience, 2001, 2(3): 194~202

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[7] V. Navalpakkam, L. Itti. Modeling the influence of task on attention[J]. Visual Research, 2005, 45(2): 205~231

[8] 张立保, 王鹏飞. 高分辨率遥感影像感兴趣区域快速检测[J]. 中国激光, 2012, 39(7): 0714001

    Zhang Libao, Wang Pengfei. Fast detection of regions of interest in high resolution remote sensing image[J]. Chinese J. Lasers, 2012, 39(7): 0714001

[9] 李志成, 秦世引, Itti L. 遥感图像的显著概要特征提取与目标检测[J]. 北京航空航天大学学报, 2010, 36(6): 659~662

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[12] 张立保, 黄颖. 一种结合最优缩放框架与四叉树分割的图像编码算法[J]. 光学学报, 2010, 30(12): 3460~3463

    Zhang Libao, Huang Ying. Image coding algorithm using optimal scaling scheme and quadtree partitioning[J]. Acta Optica Sinica, 2010, 30(12): 3460~3463

张立保. 基于区域增长的遥感影像视觉显著目标快速检测[J]. 中国激光, 2012, 39(11): 1114001. Zhang Libao. Fast Detection of Visual Saliency Regions in Remote Sensing Image based on Region Growing[J]. Chinese Journal of Lasers, 2012, 39(11): 1114001.

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