@inproceedings{cdd48309cbc5438f83401ddf016e6e40,
title = "The application of wavelet transform in crater detection",
abstract = "Crater detection is a very critical step in the deep space exploration and the edge of crater is the main information in an image. This paper proposes a wavelet transform method, which is to decompose a chosen B-spline function and then reconstruct the function to filter out the high-frequency segment. Finally, Calculate the max modulus value and angle of the gradient, and the set of the max value point is the edge of an image. In order to verify the effectiveness of this approach, a group of operators are used to compare with the wavelet transform based method. The simulation result shows the wavelet transform based method can achieve the better performance in noise-decreasing and positioning than other operators.",
keywords = "crater detection, edge detection, wavelet transform",
author = "Xiaoyu Li and Yi Shen and Yang Tian and Qiang Wang",
year = "2013",
doi = "10.1109/I2MTC.2013.6555576",
language = "英语",
isbn = "9781467346221",
series = "Conference Record - IEEE Instrumentation and Measurement Technology Conference",
pages = "1057--1061",
booktitle = "2013 IEEE International Instrumentation and Measurement Technology Conference",
note = "2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 ; Conference date: 06-05-2013 Through 09-05-2013",
}