The invention discloses a multi-feature identification method based on a high-resolution
remote sensing image and relates to the field of
remote sensing image processing, in particular to a multi-
feature recognition method based on a high-resolution
remote sensing image. According to the identification method based on multiple features of the high-resolution remote sensing image, remote sensing multi-
feature data serve as an input source of a neural network, multi-scale feature information of the remote sensing image is constructed, extracted and fused, an auxiliary
loss function is added to improve the accuracy of a model, and the identification precision of the remote sensing image is improved. According to the invention, remote sensing image information can be better mined to improve the recognition capability of the deep convolutional network for the remote sensing image; an auxiliary
loss function is set to assist the training of the network of the invention, so that the identification precision of the network can be improved; the
network structure can extract and fuse different scale information of the remote sensing image, and can screen feature information beneficial to remote sensing
image identification, so that the identification precision of the remote sensing image is improved; compared with a fusion method, the overall precision of remote sensing
image identification can reach 1.4%.