Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters
Very high resolution (VHR) remote sensing imagery has been used for land cover classification, and it tends to a transition from land-use classification to pixel-level semantic segmentation. Inspired by the recent success of deep learning and the filter method in computer vision, this work provides...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-01-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/10/1/144 |