Flood Segmentation

Unsupervised Color Based Flood Segmentation in UAV imagery

This code is a simple (not speed optimized) implementation of Unsupervised Flood Detection method proposed in [1].

You can find more details in

https://sites.google.com/site/costaspanagiotakis/research/flood-detection

Files:

getUFloodDet.m: function that implements Flood Detection method [1]

runUFloodDetLAB.m: script of implemetation of the Flood Detection method [1]

The datasets and code can be found in

https://sites.google.com/site/costaspanagiotakis/research/flood-detection

Short description:

We propose a novel unsupervised semantic segmentation method for fast and accurate flood area detection utilizing color images acquired from Unmanned Aerial Vehicles (UAVs). To our knowledge so far, this is the first fully unsupervised method for flood area segmentation in color images captured by UAVs, without the need of pre-desaster images.

We will appreciate if you cite our papers in your work:

[1] G. Simantiris and C. Panagiotakis, Unsupervised Color Based Flood Segmentation in UAV imagery, Remote Sensing, 2024.