Open AccessInsect detection and density estimation based on a Ku‐band scanning entomological radar
Author(s) -
Cai Jiong,
Yuan Quan,
Wang Rui,
Liu Changjiang,
Zhang Tianran
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0600
Subject(s) - radar , remote sensing , insect , sampling (signal processing) , computer science , geography , biology , ecology , telecommunications , detector
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.