关键词: 转基因林木, 抽样策略, 无人机, K-means, CVT

Abstract: Transgenic technology accelerates the genetic improvement of trees. Since there are potential ecological risks of genetically modified trees, it is necessary to monitor the distribution of genetically modified trees in forests. Based on the forest images acquired by UAV, we established a sampling strategy in real area for genetically modified trees in forest. Firstly, we determined the number of samples to be sampled according to the statistical parameters. By employing two improved algorithms, we performed uniform sampling in the irregular forest area with/without holes. Compared with the previous sampling methods, our method provides better sampling accuracy and uniformity, and is more suitable for the real forest areas.

Key words: genetically modified trees, sampling strategy, UAV, K-means, CVT