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Open AccessArticle

Radar Measurements of Morphological Parameters and Species Identification Analysis of Migratory Insects

by Cheng Hu 1,2, Shaoyang Kong 1, Rui Wang 1,* and Fan Zhang 1
1
Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
2
Key Laboratory of Electronic and Information Technology in Satellite Navigation (Beijing Institute of Technology), Ministry of Education, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(17), 1977; https://doi.org/10.3390/rs11171977
Received: 19 July 2019 / Revised: 17 August 2019 / Accepted: 19 August 2019 / Published: 22 August 2019
(This article belongs to the Special Issue Radar Aeroecology)
Migratory insect identification has been concerning entomology and pest managers for a long time. Their nocturnal behavior, as well as very small radar cross-section (RCS), makes individual detection challenging for any radar network. Typical entomological radars work at the X-band (9.4 GHz) with a vertical pencil beam. The measured RCS can be used to estimate insect mass and wingbeat frequency, and then migratory insects can be categorized into broad taxon classes using the estimated parameters. However, current entomological radars cannot achieve species identification with any higher precision or confidence. The limited frequency range of current insect radars have precluded the acquisition of more information useful for the identification of individual insects. In this paper, we report an improved measurement method of insect mass and body length using a radar with many more measurement frequencies than current entomological radars. The insect mass and body length can be extracted from the multi-frequency RCSs with uncertainties of 16.31% and 10.74%, respectively. The estimation of the thorax width and aspect ratio can also be achieved with uncertainties of 13.37% and 7.99%, respectively. Furthermore, by analyzing the statistical data of 5532 insects representing 23 species in East China, we found that the correct identification probabilities exceed 0.5 for all of the 23 species and are higher than 0.8 for 15 of the 23 species under the achievable measurement precision of the proposed technique. These findings provide promising improvements of individual parameter measurement for entomological radars and imply a possibility of species identification with higher precision. View Full-Text
Keywords: insects; multi frequency; radar cross-sections; parameter extraction; support vector machines insects; multi frequency; radar cross-sections; parameter extraction; support vector machines
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MDPI and ACS Style

Hu, C.; Kong, S.; Wang, R.; Zhang, F. Radar Measurements of Morphological Parameters and Species Identification Analysis of Migratory Insects. Remote Sens. 2019, 11, 1977.

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