Applicability analysis of relative elevation threshold method in recognizing diphtheria aconitum in UAV images

doi:10.13474/j.cnki.11-2246.2022.0057

Abstract

Abstract: Taking the typical poisonous grass diphtheria aconitum in the Nalati grassland of Xinyuan county, Ili Kazak Autonomous Prefecture, Xinjiang as the research object, the PhotoScan software is used to process the drone aerial images and obtain the DSM data of the study area. On this basis, the relative elevation threshold is used. The method extracts the optimal threshold range for identifying diphtheria aconitum and verifies its effectiveness. The results show that: ① In UAV images, the relative elevation threshold method can clearly and accurately reflect the distribution characteristics of ground features, and is suitable for extracting ground features with obvious height errors from ordinary grass; ② When 10 cm≤T<20 cm, diphtheria aconitum can be accurately identified, and is basically consistent with the actual distribution of diphtheria aconitum, with a classification accuracy of 92%; ③ The relative elevation threshold method can better separate diphtheria aconitum, which improves the reliability of the classification basis. It also realizes the high-precision identification of diphtheria aconitum. This method can be applied to actual grassland monitoring.

Key words: relative elevation threshold method, unmanned aerial vehicle, poisonous grass, image recognition

CLC Number:

P237

FAN Yuan, FAN Hong, WU Jianguo, LIN Jun, CHEN Jijun, Baris, ZHENG Jianghua. Applicability analysis of relative elevation threshold method in recognizing diphtheria aconitum in UAV images[J]. Bulletin of Surveying and Mapping, 2022, 0(2): 131-135.

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