scholarly journals CompPD: AMATLABPackage for Computing Projection Depth

2015 ◽  
Vol 65 (2) ◽  
Author(s):  
Xiaohui Liu ◽  
Yijun Zuo
Keyword(s):  
Projection Depth

Rayleigh projection depth

2011 ◽  
Vol 27 (3) ◽  
pp. 523-530
Author(s):  
Yonggang Hu ◽  
Qiang Li ◽  
Yong Wang ◽  
Yi Wu
Keyword(s):  
Projection Depth

Gram–Schmidt Orthonormalization based Projection Depth

2017 ◽  
Vol 52 (6) ◽  
pp. 430-434
Author(s):  
Muthu R krishnan ◽  
◽  
Vadi M vel ◽  
Ram N kumar
Keyword(s):  
Projection Depth

scholarly journals Tensor-based projection depth

Bernoulli ◽  
2011 ◽  
Vol 17 (4) ◽  
pp. 1386-1399 ◽  
Author(s):  
Yonggang Hu ◽  
Yong Wang ◽  
Yi Wu
Keyword(s):  
Projection Depth

scholarly journals CRATER DETECTION USING TEXTURE FEATURE AND RANDOM PROJECTION DEPTH FUNCTION

2020 ◽  
Vol V-3-2020 ◽  
pp. 603-608
Author(s):  
Y. Wang ◽  
X. Tong ◽  
H. Xie ◽  
M. Jiang ◽  
Y. Huang ◽  
...  
Keyword(s):  
Texture Feature ◽  
Texture Features ◽  
Random Projection ◽  
Detection Algorithm ◽  
Depth Function ◽  
Narrow Angle ◽  
Projection Depth ◽  
Crater Detection ◽  
Occurrence Matrix ◽  
Mosaic Images

Abstract. In this paper, a novel automatic crater detection algorithm (CDA) based on traditional texture feature and random projection depth function has been proposed. By using traditional texture feature, mathematical morphology is used to identify crater initially. To further reduce the false detection rate, random projection depth function is used. For this purpose, firstly, gray level co-occurrence matrix and a novel grade level co-occurrence matrix are both used to further obtain the texture features of these candidate craters. Secondly, based on the above collected features, random projection depth function is used to refine the crater candidate detection results. LRO Narrow Angle Camera (NAC) mosaic images (1 m/pixel) and Wide-angle Camera (WAC) mosaic images (100 m/pixel) are used to test the accuracy of proposed method. The experimental results indicate our proposed method is robust to detect craters located in different terrains.

scholarly journals Exactly computing bivariate projection depth contours and median

2013 ◽  
Vol 60 ◽  
pp. 1-11 ◽  
Author(s):  
Xiaohui Liu ◽  
Yijun Zuo ◽  
Zhizhong Wang
Keyword(s):  
Projection Depth
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