I just came back from IGARSS 17 which took place at Fort Worth, Texas, USA. I did two oral presentations on algorithms dedicated to Water detection in SWOT images:
- The first one is dedicated to the detection of large water bodies and uses two Markov Random Fields iteratively: the first one do the actual classification, while the second ones estimates the parameters of the class distributions.
- The other algorithm detects thin water surfaces (such as rivers). It combines a pixel-based detector (which detects parts of the river network) and a higher-level step connecting detected segments.
More information can be found in the proceedings posted in the publication page.