NDLI: Lunar surface crater topology generation using adaptive edge detection algorithm

Content Provider	IET Digital Library
Author	Saheba, Suketu M. Upadhyaya, Trushit K. Sharma, Ritesh Kumar
Abstract	The probability of precise soft landing on the lunar surface could be significantly increased by using craters as a navigational landmark. This article aims at the edge information of crater for lander navigation. First, histogram of an image is calculated and adaptive Gaussian filter is applied. Then adaptive canny algorithm is applied to detect edges of craters at different illumination. The craters are extracted by the mechanism of paring the selected valid edges followed by pattern fitting. These detected craters are used as navigational landmarks and for velocity estimation of the lander. Experimental results show the adaptive ability of algorithms for crater detection at different illuminations and different terrains. Craters at high illuminations are also efficiently detected. These detected craters are matched with the reference crater database by use of pattern matching algorithm for horizontal velocity calculations.
Starting Page	657
Ending Page	661
Page Count	5
ISSN	17519659
Volume Number	10
e-ISSN	17519667
Issue Number	Issue 9, Sep (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/10/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2015.0232
Journal	IET Image Processing
Publisher Date	2016-09-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Canny Algorithm Adaptive Edge Detection Algorithm Adaptive Gaussian Filter Edge Detection Entry, Descent And Landing (Spacecraft) Horizontal Velocity Calculations Illumination Lander Navigation Lunar Interior, Surface, And Atmosphere Lunar Surface Lunar Surface Crater Topology Generation Lunar, Planetary, And Deep-Space Probes Navigational Landmark Pattern Fitting Precise Soft Landing
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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May 2009dedicated to my wife evelyn and daughter sara. Lost in low lunar orbit crater pattern detection and.

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