An Efficient Building Extraction Method from High Spatial Resolution Remote Sensing Images Based on Improved Mask R-CNN

An Efficient Building Extraction Method from High Spatial Resolution Remote Sensing Images Based on Improved Mask R-CNN

In this paper, we consider building extraction from high spatial resolution remote sensing images. At present, most building extraction methods are based on artificial features. However, the diversity and complexity of buildings mean that building extraction methods still face great challenges, so m...

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Bibliographic Details
Main Authors: Lili Zhang, Jisen Wu, Yu Fan, Hongmin Gao, Yehong Shao
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
building extraction
convolutional neural networks
mask r-cnn
high-resolution remote sensing image
Online Access:https://www.mdpi.com/1424-8220/20/5/1465

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