A method of processing aerial photogrammetry data

Abstract

The invention relates to the technical field of aerial photogrammetry data processing, in particular to a method for processing aerial photogrammetry data. The method includes: inputting the second training data set into the trained first semantic segmentation network to obtain each incomplete semantic segmentation image corresponding to the second training data set; contouring each semantic category in each incomplete semantic segmentation image Extract, and then obtain the contour feature description vector of each optimal contour; input each contour feature description vector into the trained classification network, obtain the corresponding classification category, and then obtain the corresponding predicted semantic region contour; use each predicted semantic region contour Label the labels of the second training data set; use the label data to train the second semantic segmentation network to obtain the trained second semantic segmentation network, and then perform semantic segmentation on the target aerial photogrammetry data. The invention overcomes the problem that the accuracy rate of the semantic segmentation network decreases.

Description

technical field [0001] The invention relates to the technical field of aerial photogrammetry data processing, in particular to a method for processing aerial photogrammetry data. Background technique [0002] In the existing semantic segmentation of aerial photogrammetry data, neural network is usually used for processing. However, due to the high cost of labeling the semantic segmentation network, it will consume a lot of human resources; and the aerial photogrammetry data scene obtained in the actual use process is relatively complex, so it is difficult to completely and accurately label the neural network training time manually. The required label data leads to poor semantic segmentation processing effect and low accuracy after training. Contents of the invention [0003] In order to solve the problem in the prior art that the semantic segmentation of aerial photogrammetry data using a single network has a low accuracy rate, the purpose of the present invention is to p...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem in the prior art that the semantic segmentation of aerial photogrammetry data using a single network has a low accuracy rate, the purpose of the present invention is to provide a processing method for aerial photogrammetry data, and the adopted technical solution is as follows:

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