The application relates to a forest tree
annual growth data remote measurement method based on image recognition, which comprises the following steps: a
multispectral image recognition device is controlled by a positioning
algorithm to be aligned to a measured tree, and the current coordinates of the measured tree are recorded; the images of multiple spectrums of the measured tree are acquired; the multiple spectrums are recorded at the same time and have time point information; pixel
cutting is performed on the multispectral images, the
image edge feature mismatch area is removed, and a
multispectral image set with completely coincided features is obtained; image normalization calculation is performed, and a normalized image is regenerated according to the normalization calculation result; the pixel numbers of tree height H, crown width A and
diameter at breast height C are acquired, and the actual values of the tree height H, the crown width A and the
diameter at breast height C are calculated; the RGB feature information of tree leaves is acquired, the
specific growth cycle T of the measured tree is determined, and the
annual growth data of the measured tree is acquired to obtain a
growth model Phi of the measured tree; and data generation comprises the tree height H, the crown width A, the
diameter at breast height C and the
growth cycle T.