A Multiple-Feature Reuse Network to Extract Buildings from Remote Sensing Imagery

Automatic building extraction from remote sensing imagery is important in many applications. The success of convolutional neural networks (CNNs) has also led to advances in using CNNs to extract man-made objects from high-resolution imagery. However, the large appearance and size variations of build...

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Bibliographic Details
Main Authors: Lin Li, Jian Liang, Min Weng, Haihong Zhu
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Remote Sensing
Subjects:
CNN
FCN
Online Access:http://www.mdpi.com/2072-4292/10/9/1350