Surface Water Body Detection in Polarimetric SAR Data Using Contextual Complex Wishart Classification-Reference-Cited by-同舟云学术

Surface Water Body Detection in Polarimetric SAR Data Using Contextual Complex Wishart Classification

Published:2019-08 Issue:8 Volume:55 Page:7047-7059
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Goumehei E.¹^ORCID,Tolpekin V.²^ORCID,Stein A.²,Yan W.¹

Affiliation:

1. Graduate School of Media and Governance Keio University Fujisawa Japan

2. Department of Earth Observation Science, Faculty of Geoinformation Science and Earth Observation (ITC) University of Twente Enschede The Netherlands

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR025192

Reference50 articles.

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2. Akbari V. Moser G. Doulgeris A. P. Anfinsen S. N. Eltoft T. &Serpico S. B.(2011).A K‐Wishart Markov random field model for clustering of polarimetric SAR imagery. In: Proceedings of 2011 IEEE International Geoscience and Remote Sensing Symposium (9037) 1357–1360. Retrieved fromhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6049317

3. Measuring surface water from space

4. Markov-random-field-based super-resolution mapping for identification of urban trees in VHR images

5. A Method for Automatic and Rapid Mapping of Water Surfaces from Sentinel-1 Imagery

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