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Finding Curvilinear Features In Speckled Images

机译：在斑点图像中找到曲线特征

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《IEEE Transactions on Geoscience and Remote Sensing》 |1990年第4期|P.669-673|共5页
作者
Samadani R.; Vesecky J.F.;
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正文语种 eng
中图分类无线电电子学、电信技术;
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1. Prior-Apprised Unsupervised Learning of Subpixel Curvilinear Features in Low Signal/Noise Images [J] . Yin Shuhui, Tien Ming, Yang Haw Biophysical Journal . 2020,第10期

机译：在低信号/噪声图像中先前了解的无监督学习子像素曲线特征
2. Representing Images Using Curvilinear Feature Driven Subdivision Surfaces [J] . Zhou H., Zheng J., Wei L. Image Processing, IEEE Transactions on . 2014,第8期

机译：使用曲线特征驱动的细分曲面表示图像
3. Finding Curvilinear Path Features in a Layered Learning Paradigm for Humanoid Robot Using Monocular Vision [J] . Hafez Eslami Manoochehri, Kamal Jamshidi, Amirhassan Monadjemi, International journal of humanoid robotics . 2014,第3期

机译：使用单目视觉在类人机器人的分层学习范例中找到曲线路径特征
4. Finding Curvilinear Features in Speckled Images [C] . Samadani, R., Vesecky, . 2001

机译：在斑点图像中找到曲线特征
5. Detection and estimation in speckled images based on marked point process speckle noise models. [D] . Daba, Jihad Salah. 1994

机译：基于标记点过程斑点噪声模型的斑点图像检测和估计。
6. Prior-Apprised Unsupervised Learning of Subpixel Curvilinear Features in Low Signal/Noise Images [O] . Shuhui Yin, Ming Tien, Haw Yang 2020

机译：在低信号/噪声图像中先前了解的uppixel曲线特征的无监督学习
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8. Fine-Resolution Imaging of Solar Features Using Phase-Diverse Speckle [R] . Paxman, R. G. 1995

机译：使用相位多样散斑的太阳能特征的精细分辨率成像

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