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Geocarto International Volume 37, 2022 - Issue 18
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Original Articles

Crowdsourcing-based application to solve the problem of insufficient training data in deep learning-based classification of satellite images

Ekrem Saralioglua Department of Geomatics Engineering, Artvin Coruh University, Artvin, TurkeyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-0609-3338
ORCID Icon &
Oguz Gungorb Department of Real Estate Development, Ankara University, Ankara, TurkeyORCID Iconhttps://orcid.org/0000-0002-3280-5466
ORCID Icon
Pages 5433-5452 | Received 13 Jan 2021, Accepted 21 Mar 2021, Published online: 26 May 2021

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Nahian Ahmed & Rashedur M. Rahman. (2022) Label noise tolerance of deep semantic segmentation networks for extracting buildings in ultra-high-resolution aerial images of semi-built environments. Geocarto International 37:25, pages 8062-8079.
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Articles from other publishers (4)

Chia-chun Chung & Tay-sheng Jeng. (2022) A Citizen-Sensing System for Measuring Urban Environmental Quality: A Case Study Carried out in Taiwan. Applied Sciences 12:24, pages 12691.
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Giles M. Foody. (2022) Global and Local Assessment of Image Classification Quality on an Overall and Per-Class Basis without Ground Reference Data. Remote Sensing 14:21, pages 5380.
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Jun Yue, Leyuan Fang, Pedram Ghamisi, Weiying Xie, Jun Li, Jocelyn Chanussot & Antonio Plaza. (2022) Optical Remote Sensing Image Understanding With Weak Supervision: Concepts, methods, and perspectives. IEEE Geoscience and Remote Sensing Magazine 10:2, pages 250-269.
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Tomoumi Takase. (2022) A Collaborative Training Using Crowdsourcing and Neural Networks on Small and Difficult Image Classification Datasets. SN Computer Science 3:2.
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