Forest wood resource survey method based on SLAM and image identification
An image recognition and forest technology, applied in the field of forest resources investigation, can solve the problems of unverifiable accuracy of investigation results, high manual dependence, low investigation efficiency, etc., meet the requirements of manual use and low cost, avoid manual input, data High processing efficiency
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[0022] like figure 1 As shown, a forest resource investigation method based on SLAM and deep learning includes the following steps: S1, collect data on the forest sample plot to be investigated, and obtain image data and environmental data covering the entire sample plot scene; S2, through SLAM The method processes the acquired image data to generate a 3D model of the scene of the sample plot; S3, singulates the 3D model, finds the corresponding area on the image for identification, and further processes the identification result to obtain the forest tree in the sample plot. Type and quantity, three-dimensional space coordinates, height, diameter at breast height and other survey factors of sample trees; S4, import the collected original scene data of the sample plot and the processed data into the forest resource management unit for management. The scene images and environmental data of the sample plot are collected by sensors such as stereo vision cameras and inertial naviga...
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