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Research on Building Extraction of Multi-temporal Remote Sensing Image Based on Deep Learning

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Abstract

The building texture features of multi-temporal remote sensing images were introduced into the VGG neural network. Building extraction accuracy of multi-temporal images can reach 90.6%, which is significantly higher than that of single-phase images.

© 2019 The Author(s)

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