A Novel Boundary Loss Function in Deep Convolutional Networks to Improve the Buildings Extraction From High-Resolution Remote Sensing Images
Author:
Affiliation:
1. School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9656571/09789356.pdf?arnumber=9789356
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1. Visualization of a Ran-GTP Gradient in Interphase and Mitotic Xenopus Egg Extracts
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