Hierarchical coastline detection in SAR images based on spectral‐textural features and global–local information
Author:
Affiliation:
1. Department of Electrical EngineeringFaculty of EngineeringShahid Chamran University of AhvazAhvazIran
Funder
Shahid Chamran University of Ahvaz
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rsn.2019.0063
Reference46 articles.
1. Automatic Coastline Extraction Using Edge Detection and Optimization Procedures
2. Detection, measurement and prediction of shoreline recession in Accra, Ghana;Addo K.A.;ISPRS J. Photogramm. Remote Sens.,2008
3. Creation of a coastal evolution prognostic model using shoreline historical data and techniques of digital image processing in a GIS environment for generating future scenarios;Sousa W.R.D.;Int. J. Remote Sens.,2018
4. Image classification methods applied to shoreline extraction on very high-resolution multispectral imagery
5. 55‐Year (1960–2015) spatiotemporal shoreline change analysis using historical DISP and LandSat time series data in shanghai;Qiao G.;Int. J. Appl. Earth Obs. Geoinformation,2018
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