Wild animal information acquisition method and device based on unmanned aerial vehicle

Abstract

The invention discloses a wild animal information acquisition method and device based on an unmanned aerial vehicle. The method comprises: controlling the unmanned aerial vehicle to obtain remote sensing image data of wild animals; performing feature extraction on the remote sensing image data by using the trained feature extraction neural network model, wherein layers in each module of the feature extraction neural network model are densely connected; utilizing a trained object recognition neural network model to recognize a plurality of feature images of the remote sensing image data obtained by the feature extraction neural network model according to a plurality of preset feature image scales, the plurality of preset feature image scales being compression ratios of the feature images relative to the remote sensing images; and obtaining an identification result according to the object identification neural network model, and determining the species number of wild animals and the number of various wild animals in the remote sensing image data. According to the technical scheme provided by the invention, the wild animal information acquisition efficiency can be improved.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to a method and device for acquiring wild animal information based on a drone. Background technique [0002] With the gradual deterioration of the current ecological situation, the protection of wild animals has become imminent. According to the quantity and activity rules of wild animals acquired, people formulate corresponding strategies to protect wild animals, so as to realize the harmonious development of man and nature. [0003] One of the existing methods is to take photos of designated areas by drones, and then manually screen the photos to obtain the number and activity rules of wild animals. [0004] However, relying on manual screening is time-consuming and labor-intensive, and for remote sensing images uploaded by drones, manual screening often misses the phenomenon, which reduces the efficiency of wild animal information acquisition. Contents o...

AI Technical Summary

Problems solved by technology

[0004] However, relying on manual screening is time-consuming and labor-intensive, and for remote sensing images uploaded by drones, manual screening often causes omissions, which reduces the efficiency of wild animal information acquisition.

Images