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http://dx.doi.org/10.30693/SMJ.2020.9.3.46

Searching the Damaged Pine Trees from Wilt Disease Based on Deep Learning  

ZHANGRUIRUI, ZHANGRUIRUI (전북대학교 전자.정보공학부)
YOUJIE, YOUJIE (전북대학교 전자.정보공학부)
Kim, Byoungjun (전북대학교 전자.정보공학부)
Sun, Joonam (한국임업진흥원 방제드론실)
Lee, Joonwhoan (전북대학교 컴퓨터공학부)
Publication Information
Smart Media Journal / v.9, no.3, 2020 , pp. 46-51 More about this Journal
Abstract
Pine wilt disease is one of the reasons that results in huge damage on pine trees in east Asia including Korea, Japan, and China, and early finding and removing the diseased trees is an efficient way to prevent the forest from wide spreading. This paper proposes a searching method of the damaged pine trees from wilt disease in ortho-images corrected from RGB images, which are captured by unmanned aviation vehicles. The proposed method constructs patch-based classifier using ResNet18 backbone network, classifies the RGB ortho-image patches, and make the results as a heat map. The heat map can be used to find the distribution of diseased pine trees, to show the trend of spreading disease, and to extract the RGB distribution of the diseased areas in the image. The classifier in the work shows 94.7% of accuracy.
Keywords
pine wilt disease; unmanned aviation vehicle; RGB ortho-image; deep learning-based classifier; heat map;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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