Extracting Human Settlement Footprint from Historical Topographic Map Series Using Context-Based Machine Learning
Extracting Human Settlement Footprint from Historical Topographic Map Series Using Context-Based Machine Learning
- Author(s): J.H. Uhl ; S. Leyk ; Yao-Yi Chiang ; Weiwei Duan ; C.A. Knoblock
- DOI: 10.1049/cp.2017.0144
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- Author(s): J.H. Uhl ; S. Leyk ; Yao-Yi Chiang ; Weiwei Duan ; C.A. Knoblock Source: 8th International Conference of Pattern Recognition Systems (ICPRS 2017), 2017 page ()
- Conference: 8th International Conference of Pattern Recognition Systems (ICPRS 2017)
- DOI: 10.1049/cp.2017.0144
- ISBN: 978-1-78561-652-5
- Location: Madrid, Spain
- Conference date: 11-13 July 2017
- Format: PDF
Inspec keywords: learning (artificial intelligence); neural nets; geophysical image processing; convolution; image sampling; feature extraction; geographic information systems
Subjects: Geophysical techniques and equipment; Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research; Geography and cartography computing; Image recognition; Data and information; acquisition, processing, storage and dissemination in geophysics; Neural computing techniques; Computer vision and image processing techniques