A Novel Framework Based on Mask R-CNN and Histogram Thresholding for Scalable Segmentation of New and Old Rural Buildings

A Novel Framework Based on Mask R-CNN and Histogram Thresholding for Scalable Segmentation of New and Old Rural Buildings

Mapping new and old buildings are of great significance for understanding socio-economic development in rural areas. In recent years, deep neural networks have achieved remarkable building segmentation results in high-resolution remote sensing images. However, the scarce training data and the varyin...

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Bibliographic Details
Main Authors: Ying Li, Weipan Xu, Haohui Chen, Junhao Jiang, Xun Li
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Remote Sensing
Subjects:
deep learning
rural buildings
instance segmentation
Mask R-CNN
histogram thresholding
Online Access:https://www.mdpi.com/2072-4292/13/6/1070

Internet

https://www.mdpi.com/2072-4292/13/6/1070

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