Linear structure interpretation method of remote sensing image based on full convolution neural network:An example of Guanfang copper mining area in Yunxian County
This paper investigates the application of deep learning method in geological structure interpreta-tion and explores for a more efficient and prior-knowledge-free approach compared to traditional linear con-struction method.An image pixel annotation method based on fully convolution neural network(FCN)is used to achieve semi-automated interpretation of linear structure with remote sensing data.Guanfang copper mining area in Yun County,Yunnan Province is selected as the experimental area,and the study result indi-cates that this interpretation method can meet the basic need of general geological research and serves as a preliminary reference for manual linear interpretation work with a certain research significance.Compared with other traditional automatic interpretation methods,it has the advantage in interpretation accuracy,effi-ciency and reusability.These research results have an important reference value for the automation develop-ment of geological structure interpretation,and it also provides a new idea for the intelligent development of remote sensing interpretation.
linear structurefull convolution neural networkGuanfang copper depositsemantic segmentation
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