Noise-Aware Regional Contrast Semantic Segmentation of Remote Sensing Images Using Crowdsourcing Labels
Author:
Affiliation:
1. National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment,Shenzhen,China,518060
2. College of Civil and Transportation Engineering, Shenzhen University,Shenzhen,China,518060
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10579947/10580996/10581219.pdf?arnumber=10581219
Reference20 articles.
1. Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery
2. A Hyperspectral Image Classification Method Based on Multi-Discriminator Generative Adversarial Networks
3. Automatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performance
4. Correcting rural building annotations in OpenStreetMap using convolutional neural networks
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