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International Journal of Remote Sensing Volume 38, 2017 - Issue 11
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Articles

Natural hazard damage detection based on object-level support vector data description of optical and SAR Earth observations

Reza Shah-HosseiniSchool of Surveying and Geospatial Engineering, University College of Engineering, University of Tehran, Tehran, IranCorrespondence[email protected]
,
Abdolreza SafariSchool of Surveying and Geospatial Engineering, University College of Engineering, University of Tehran, Tehran, Iran
&
Saeid HomayouniDepartment of Geography, Environment and Geomatics, University of Ottawa, Ottawa, ON, Canada
Pages 3356-3374 | Received 06 Jun 2016, Accepted 31 Jan 2017, Published online: 21 Mar 2017

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Mahdi Hasanlou, Seyd Teymoor Seydi & Reza Shah-Hosseini. (2018) A Sub-Pixel Multiple Change Detection Approach for Hyperspectral Imagery. Canadian Journal of Remote Sensing 44:6, pages 601-615.
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Articles from other publishers (3)

Gülşen Taşkin, Esra Erten & Enes Oğuzhan Alataş. 2021. Change Detection and Image Time Series Analysis 2. Change Detection and Image Time Series Analysis 2 155 221 .
Mehdi Khoshboresh Masouleh & Reza Shah-Hosseini. (2019) A hybrid deep learning–based model for automatic car extraction from high-resolution airborne imagery. Applied Geomatics 12:2, pages 107-119.
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Tengfei Su, Shengwei Zhang & Tingxi Liu. (2020) Multi-Spectral Image Classification Based on an Object-Based Active Learning Approach. Remote Sensing 12:3, pages 504.
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