Abstract: A method for extracting forest parameters of a wetland with high canopy density based on a consumer-grade unmanned aerial vehicle (UAV) image is provided, which belongs to the technical field of wetland forest investigation. The method includes: collecting image data using a consumer-grade UAV; processing the collected UAV image, and generating a digital surface model and a digital orthophoto map; performing land use classification based on a UAV DOM image; obtaining a canopy height model with an accurate elevation based on classification of different land types of the wetland, and obtaining an accurate tree height and a tree number by means of a neighborhood extraction tool through the canopy height model; and obtaining an accurate canopy range by means of a multi-foreground marker watershed algorithm based on image filtering.

Abstract: A method for extracting forest parameters of a wetland with high canopy density based on a consumer-grade unmanned aerial vehicle (UAV) image is provided, which belongs to the technical field of wetland forest investigation. The method includes: collecting image data using a consumer-grade UAV; processing the collected UAV image, and generating a digital surface model and a digital orthophoto map; performing land use classification based on a UAV DOM image; obtaining a canopy height model with an accurate elevation based on classification of different land types of the wetland, and obtaining an accurate tree height and a tree number by means of a neighborhood extraction tool through the canopy height model; and obtaining an accurate canopy range by means of a multi-foreground marker watershed algorithm based on image filtering.