Insect detection and density estimation based on a Ku-band scanning entomological radar

Abstract

Entomological radars need to address the problem of insect density estimation. Here, a Ku-band experimental entomological radar with two-dimensional scanning mode is used to collect insect echo data. The nearest neighbour method is used to associate the traces of the same insect. Then, the insects are classified according to their radar cross-sections (RCSs) and heights. Then, the corresponding radar-effective sampling volumes are calculated. So, we can get the density of insects with different RCSs at any height layer. Finally, the densities of insects with different RCSs at the same height layer are accumulated to obtain the total insect density at each height layer.

Keywords

• radar cross-sections
• radar signal processing
• signal sampling
• nearest neighbour methods
• insect detection
• radar-effective sampling volumes
• rcs
• radar cross-sections
• nearest neighbour method
• insect echo data
• two-dimensional scanning mode
• ku-band experimental entomological radar
• insect density estimation
• total insect density
• height layer