Unsupervised detection of thin water surfaces in SWOT images based on segment detection and connection
- Resource Type
- Conference
- Authors
- Lobry, S.; Tupin, F.; Fjortoft, R.
- Source
- 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Geoscience and Remote Sensing Symposium (IGARSS), 2017 IEEE International. :3720-3723 Jul, 2017
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Geoscience
Power, Energy and Industry Applications
Signal Processing and Analysis
Rivers
Image segmentation
Sea surface
Surface topography
Surface morphology
Synthetic aperture radar
Feature extraction
SWOT
Classification
SAR
Linear features detection
- Language
- ISSN
- 2153-7003
The objective of the Surface Water and Ocean Topography (SWOT) mission is to regularly monitor the height of the earth's water surfaces. One of the challenges toward obtaining global measurements of these surfaces is to detect small water areas. In this article we introduce a method for the detection of thin water surfaces, such as rivers, in SWOT images. It combines a low-level step (segment detection) with a high-level regularization of these features. The method is then tested on a simulated SWOT image.