Abstract:

UAV technology can be used to quickly acquire high resolution remote sensing images of forest nature reserve. In forestry resource investigation and monitoring, UAV images have more advantages than traditional satellite images. This study took Danxia Mountain Wetland Nature Reserve as the research object and proposed an automatic extraction method of individual forest tree based on UAV images. A multi-scale segmentation algorithm for UAV remote sensing image was adopted. Then, through constructing the characteristic information model of forest land, the automatic extraction of individual tree in artificial forest land in the study area was realized. The results showed that the proposed method had high feasibility in automatic extraction of artificial forest land in Danxia Mountain Wetland Nature Reserve. The Kappa coefficient was 0.979, and the overall accuracy of classification extraction reached 98.40%, which could meet the needs of artificial forest land extraction. This method can eliminate the human intervention and prior knowledge before the classification of artificial forest land, greatly improve the efficiency of UAV images in the investigation and monitoring of forest land resources, and provide a new way for accurate forest survey.

Key words: UAV image, nature reserve, Danxia Mountain, artificial forest land, multi-scale segmentation