TITLE:
Research on Surface Information Extraction Based on Deep Learning and Transfer Learning
AUTHORS:
Zhen Chen, Yiyang Zheng
KEYWORDS:
Land Classification, Convolution Neural Network, Transfer Learning
JOURNAL NAME:
Journal of Geoscience and Environment Protection,
Vol.11 No.10,
October
19,
2023
ABSTRACT: The land cover types in South China are varied, and
the terrain is undulating, and the area of different land types is small, and
the remote sensing monitoring work was difficult. In order to solve these
problems, an automatic classification method based on transfer learning and
convolutional neural network model was
established in this paper, with a total classification accuracy of 98.1611%. This paper proposes a land use classification remote sensing method
based on deep learning, which improved the automation level and monitoring
accuracy of complex land surface remote sensing monitoring in South China, and
it provided technical support for the land consolidation work in China.