EXTRACTION OF THE INDIVIDUAL TREE INFECTED BY PINE WILT DISEASE USING UNMANNED AERIAL VEHICLE OPTICAL IMAGERY

Zhou, X.; Liao, L.; Cheng, D.; Chen, X.; Huang, Q.

For eliminating pine trees infected pine wilt disease in southern China based on remote sensing technique, it is important to ensure the provision of timely information about individual diseased tree. It is not easy to detect and extract the diseased pine trees from conventional remote sensing techniques. This paper proposes a new approach for extracting information about individual diseased tree, without the use of satellite images and aerial hyperspectral images. Field measurements in different leaf infected stages indicates the possibility of extracting diseased trees by using only the three regular bands, red, green and blue. VEG was selected and proved to be the optimal index in 12 vegetation indices from the three visible bands. Using the adaptive local threshold selection methods, VEG grayscale image pixels could be automatically segmented into the diseased trees region. Based on mathematical morphology, the accuracy of individual tree information extraction reached 90%.

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Zhou, X. / Liao, L. / Cheng, D. / et al: EXTRACTION OF THE INDIVIDUAL TREE INFECTED BY PINE WILT DISEASE USING UNMANNED AERIAL VEHICLE OPTICAL IMAGERY. 2020. Copernicus Publications.

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