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...
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Published in | Remote sensing (Basel, Switzerland) Vol. 10; no. 1; p. 144 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
MDPI AG
01.01.2018
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Subjects | |
Online Access | Get full text |
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