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Recognition Algorithm for Topographic Features
Aizu-Wakamatsu City, Fukushima, Japan October 16-October 19
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIT.2007.1517th IEEE International Conference on ...
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Naoto Harada, Takafumi Hayashi, Naru Hirata, Hirohide Demura, Noriaki Asada, "Recognition Algorithm for Topographic Features," Computer and Information Technology, International Conference on, pp. 685-689, 7th IEEE International Conference on Computer and Information Technology (CIT 2007), 2007.
 
 
BibTex
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@article{ 10.1109/CIT.2007.151,
author = {Naoto Harada and Takafumi Hayashi and Naru Hirata and Hirohide Demura and Noriaki Asada},
title = {Recognition Algorithm for Topographic Features},
journal ={Computer and Information Technology, International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2983-6},
pages = {685-689},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2007.151},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Information Technology, International Conference on
TI - Recognition Algorithm for Topographic Features
SN - 0-7695-2983-6
SP685
EP689
A1 - Naoto Harada,
A1 - Takafumi Hayashi,
A1 - Naru Hirata,
A1 - Hirohide Demura,
A1 - Noriaki Asada,
PY - 2007
VL - 0
JA - Computer and Information Technology, International Conference on
ER -
 
Naoto Harada, University of Aizu
Takafumi Hayashi, University of Aizu
Naru Hirata, University of Aizu
Hirohide Demura, University of Aizu
Noriaki Asada, University of Aizu
This research describes development of recognition algorithm for topographic features such as impact craters, wrinkle ridges, and grabens on Digital Terrain Models of SELENE (SELenological and Engineering Explorer). Because SELENE provides massive volumes of lunar data, its data sets require semi-automatic laborsaving analysis. We try to recognize circular and linear topographic features with General Hough Transform. Although the transform is one of the most popular techniques, this should be optimized for our targeted features. Experimental results of this algorithm show that typical craters and topographic lineaments can be extracted.
Citation:
Naoto Harada, Takafumi Hayashi, Naru Hirata, Hirohide Demura, Noriaki Asada, "Recognition Algorithm for Topographic Features," cit, pp.685-689, 7th IEEE International Conference on Computer and Information Technology (CIT 2007), 2007
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