Migratory Insect Multifrequency Radar Cross Sections for Morphological Parameter Estimation

文献类型： 外文期刊

第一作者： Hu, Cheng

作者： Hu, Cheng;Liu, Changjiang;Long, Teng;Kong, Shaoyang;Lang, Tianjiao;Liu, Changjiang;Lang, Tianjiao;Gould, Philip J. L.;Lim, Jason;Wu, Kongming

作者机构：

关键词： Feature extraction; migratory insect; multifrequency; radar cross section (RCS)

期刊名称：IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING （ 影响因子：5.6； 五年影响因子：6.086 ）

ISSN： 0196-2892

年卷期： 2019 年 57 卷 6 期

页码：

收录情况： SCI

摘要： Insect migration provides major ecosystem services, and sometimes, migratory pests cause serious crop damage and yield loss. Species identification is critically important in studies of insect migration, for both entomologists and pest managers. Radar is an effective means of detecting insect migrants. Current entomological radars usually operate at X-band, and signal amplitude information is used to estimate body mass and wing-beat frequency, which can then be used to categorize migratory insects into broad taxon classes. To improve the identification performance, this paper presents a novel radar method of measuring insect mass and body length. The multifrequency radar cross sections (RCS) of insects at X-band and Ku-/K-band are fully investigated, and the comprehensive relationship between RCS and insect morphological parameters provides an improvement in the estimation of insect mass. More importantly, estimations of body length can also be realized with an accuracy of 84% based on experimental data acquired by a vector network analyzer in a microwave anechoic chamber. If multifrequency RCS measurements can be obtained by radar in the future, then highly accurate estimations of insect mass and body length will be possible, although it is currently still a challenge to build a radar capable of making the required measurements over such a wide frequency range.

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