参考文献
[1]巫兆聪,胡文忠.结合光谱、纹理与形状结构信息的遥感影像分割方法[J].测绘学报,2013,42(1):44-50.
[2]YUAN J Y,WANG D L,LI R X.Remote sensing image segmentation by combining spectral and texture features[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52(1):16-24.
[3]CAO C,HUANG Y,YANG Y,et al.Look and think twice:capturing top-down visual attention with feedback convolutional neural networks[C]//Proceedings of IEEE Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2015:2956-2964.
[4]PALENICHKA R M,LAKHSSASSI A.Multi-scale segmenta-tion of forest areas and tree detection in LiDAR images by the attentive vision method[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2013,6(3):1939-1404.
[5]SHARMA S,KIROS R,SALAKHUTDINOV R.Fast object detection based on selective visual attention[J].Neurocomputing,2014,144(20):184-197.
[6]胡燕翔,万莉.基于视觉注意机制的异源图像融合[J].计算机工程,2015,41(3):247-252.
[7]MATEESCU V A,BAJIC I V.Visual attention retargeting[J].IEEE MultiMedia,2016,23(1):82-91.
[8]侯庆岑,潘辰,杨勇.基于视觉显著度的多聚焦图像融合方法[J].计算机工程,2015,41(1):211-217.
[9]王妮,彭世揆,李明诗.基于树种分类的高分辨率遥感数据纹理特征分析[J].浙江农林大学学报,2012,29(2):210-217.
[10]刘小丹,杨燊.基于蓝噪声理论的遥感图像森林植被纹理测量[J].国土资源遥感,2015,27(2):63-68.
[11]PALENICHKA R M,ZAREMBA M B.Automatic extraction of control points for the registration of optical satellite and LiDAR images[J].IEEE Transactions on Geoscience and Remote Sensing,2010,48(7):2864-2879.
[12]周雨薇,陈强,孙权森,等.结合暗通道原理和双边滤波的遥感图像增强[J].中国图象图形学报,2014,19(2):313-321.
[13]刘小丹,于宁.河流湿地遥感图像分层次多尺度分割[J].网络新媒体技术,2016,5(5):51-59.
[14]贺锦鹏,孙枫,刘利强.基于滤波器阵列与图割的彩色纹理分割[J].计算机工程,2011,37(14):217-219.
[15]王玮,李见为,黄非非,等.基于Log-Gobor滤波的指纹图像增强[J].计算机科学,2007,34(7):241-243.
编辑金胡考 |