Canopy-scale UAV Hyperspectral Diseased Single Tree Identification
Based on the spectral and texture characteristics of Pinus massoniana infected with Bursaphelenchus xylophilus,the applica-tion effect and prospect of airborne hyperspectral images in the identification of single tree infected with Bursaphelenchus xylophilus were explored. In this paper,the spectral characteristics of different degrees of diseased and healthy Pinus massoniana canopy on air-borne hyperspectral images were analyzed,and an airborne hyperspectral supervised classification and recognition model was estab-lished according to the spectral and texture characteristics of different degrees of disease,and the identification results of different su-pervised classification methods were analyzed. Based on the analysis and evaluation,an airborne hyperspectral image diseased Pinus massoniana identification and classification model suitable for Guangdong was proposed. The research shows that the spectral curve of pine canopy based on airborne hyperspectral images is basically consistent with the ground non-imaging hyperspectral changes,which indicates that it is feasible to analyze the spectral characteristics of pine canopy based on airborne hyperspectral images. At the same time,compared with the spectral index analysis method and high-resolution image,the supervised classification method based on hy-perspectral images can eliminate the interference of bare soil and shadow to the greatest extent,but it is still difficult to eliminate the interference of the edge of bare soil.
万方数据
维普
