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Migratory Insect Multifrequency Radar Cross Sections for Morphological Parameter Estimation

  • Rui Wang
  • , Cheng Hu*
  • , Changjiang Liu
  • , Teng Long
  • , Shaoyang Kong
  • , Tianjiao Lang
  • , Philip J.L. Gould
  • , Jason Lim
  • , Kongming Wu
  • *Corresponding author for this work
  • Beijing Institute of Technology
  • Beihang University
  • Rothamsted Research
  • Chinese Academy of Agricultural Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original languageEnglish
Article number8585127
Pages (from-to)3450-3461
Number of pages12
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume57
Issue number6
DOIs
Publication statusPublished - Jun 2019

Keywords

  • Feature extraction
  • migratory insect
  • multifrequency
  • radar cross section (RCS)

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