Integrating object-based image analysis and geographic information systems for waterbodies delineation on synthetic aperture radar data-Reference-Cited by-同舟云学术

Integrating object-based image analysis and geographic information systems for waterbodies delineation on synthetic aperture radar data

Published:2021-03-03 Issue: Volume: Page:1-16
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Kotaridis Ioannis¹,Lazaridou Maria¹

Affiliation:

1. Laboratory of Photogrammetry – Remote Sensing, Faculty of Engineering, School of Civil Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2021.1892213

Reference47 articles.

1. Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis

2. Image Segmentation Methods for Object-based Analysis and Classification

3. Geographic Object-Based Image Analysis – Towards a new paradigm

4. Integration of remote sensing data and GIS for accurate mapping of flooded areas

5. Canada.ca. 2015. Radar Polarimetry [Internet]; [accessed 2021 Feb 22]. https://www.nrcan.gc.ca/maps-tools-publications/satellite-imagery-air-photos/remote-sensing-tutorials/microwave-remote-sensing/radar-polarimetry/9275.

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