Image and Signal Processing Methods

Aeromagnetic gradient compensation method for helicopter based on ϵ-support vector regression algorithm

[+] Author Affiliations
Peilin Wu, Chunjiao Fei

Chinese Academy of Sciences, Institute of Electronics, Key Laboratory of Electromagnetic Radiation and Sensing Technology, Beijing, China

University of Chinese Academy of Sciences, Beijing, China

Qunying Zhang, Guangyou Fang

Chinese Academy of Sciences, Institute of Electronics, Key Laboratory of Electromagnetic Radiation and Sensing Technology, Beijing, China

J. Appl. Remote Sens. 11(2), 025012 (Jun 08, 2017). doi:10.1117/1.JRS.11.025012
History: Received October 18, 2016; Accepted May 12, 2017
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Abstract.  Aeromagnetic gradients are typically measured by optically pumped magnetometers mounted on an aircraft. Any aircraft, particularly helicopters, produces significant levels of magnetic interference. Therefore, aeromagnetic compensation is essential, and least square (LS) is the conventional method used for reducing interference levels. However, the LSs approach to solving the aeromagnetic interference model has a few difficulties, one of which is in handling multicollinearity. Therefore, we propose an aeromagnetic gradient compensation method, specifically targeted for helicopter use but applicable on any airborne platform, which is based on the ϵ-support vector regression algorithm. The structural risk minimization criterion intrinsic to the method avoids multicollinearity altogether. Local aeromagnetic anomalies can be retained, and platform-generated fields are suppressed simultaneously by constructing an appropriate loss function and kernel function. The method was tested using an unmanned helicopter and obtained improvement ratios of 12.7 and 3.5 in the vertical and horizontal gradient data, respectively. Both of these values are probably better than those that would have been obtained from the conventional method applied to the same data, had it been possible to do so in a suitable comparative context. The validity of the proposed method is demonstrated by the experimental result.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Peilin Wu ; Qunying Zhang ; Chunjiao Fei and Guangyou Fang
"Aeromagnetic gradient compensation method for helicopter based on ϵ-support vector regression algorithm", J. Appl. Remote Sens. 11(2), 025012 (Jun 08, 2017). ; http://dx.doi.org/10.1117/1.JRS.11.025012


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