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International Journal of Remote Sensing Volume 37, 2016 - Issue 17
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Articles

Object-based urban structure type pattern recognition from Landsat TM with a Support Vector Machine

Marc WielandCentre for Early Warning Systems, GFZ German Research Centre for Geosciences, Potsdam, GermanyCorrespondence[email protected]
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Yolanda TorresEarthquake Engineering Research Group, Technical University of Madrid, Madrid, SpainView further author information
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Massimiliano PittoreCentre for Early Warning Systems, GFZ German Research Centre for Geosciences, Potsdam, GermanyView further author information
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Belén BenitoEarthquake Engineering Research Group, Technical University of Madrid, Madrid, SpainView further author information
Pages 4059-4083 | Received 28 Dec 2015, Accepted 16 Jun 2016, Published online: 12 Jul 2016

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Yolanda Torres, Sandra Martínez-Cuevas, Sergio Molina-Palacios, José Juan Arranz & Álvaro Arredondo. (2023) Using remote sensing for exposure and seismic vulnerability evaluation: is it reliable?. GIScience & Remote Sensing 60:1.
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Ahmad Fallatah, Simon Jones & David Mitchell. (2020) Object-based random forest classification for informal settlements identification in the Middle East: Jeddah a case study. International Journal of Remote Sensing 41:11, pages 4421-4445.
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Gaurav V. Jain & Shashikant A. Sharma. (2019) Spatio-temporal analysis of urban growth in selected small, medium and large Indian cities. Geocarto International 34:8, pages 887-908.
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Ming Shang, Shixin Wang, Yi Zhou, Cong Du & Wenliang Liu. (2019) Object-based image analysis of suburban landscapes using Landsat-8 imagery. International Journal of Digital Earth 12:6, pages 720-736.
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Fabián Santos, Pablo Meneses & Patrick Hostert. (2019) Monitoring long-term forest dynamics with scarce data: a multi-date classification implementation in the Ecuadorian Amazon. European Journal of Remote Sensing 52:sup1, pages 62-78.
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S M Labib & Angela Harris. (2018) The potentials of Sentinel-2 and LandSat-8 data in green infrastructure extraction, using object based image analysis (OBIA) method. European Journal of Remote Sensing 51:1, pages 231-240.
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Articles from other publishers (5)

Swasti Patel, Priya Swaminarayan, Simranjitsingh Pabla, Mandeepsingh Mandla & Hardik Narendra. 2023. Smart Trends in Computing and Communications. Smart Trends in Computing and Communications 223 233 .
Luccas Z. Maselli & Rogério G. Negri. (2021) Urban structure type mapping method using spatial metrics and remote sensing imagery classification. Earth Science Informatics 14:4, pages 2357-2372.
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Yolanda Torres, José Juan Arranz, Jorge M. Gaspar-Escribano, Azadeh Haghi, Sandra Martínez-Cuevas, Belén Benito & Juan Carlos Ojeda. (2019) Integration of LiDAR and multispectral images for rapid exposure and earthquake vulnerability estimation. Application in Lorca, Spain. International Journal of Applied Earth Observation and Geoinformation 81, pages 161-175.
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Kai Ye. (2019) Key Feature Recognition Algorithm of Network Intrusion Signal Based on Neural Network and Support Vector Machine. Symmetry 11:3, pages 380.
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Marc Wieland, Wen Liu & Fumio Yamazaki. (2016) Learning Change from Synthetic Aperture Radar Images: Performance Evaluation of a Support Vector Machine to Detect Earthquake and Tsunami-Induced Changes. Remote Sensing 8:10, pages 792.
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