Drones4Good: Supporting Disaster Relief Through Remote Sensing and AI

no code implementations • 9 Aug 2023 • Nina Merkle, Reza Bahmanyar, Corentin Henry, Seyed Majid Azimi, Xiangtian Yuan, Simon Schopferer, Veronika Gstaiger, Stefan Auer, Anne Schneibel, Marc Wieland, Thomas Kraft

In order to respond effectively in the aftermath of a disaster, emergency services and relief organizations rely on timely and accurate information about the affected areas.

Multi-sensor cloud and cloud shadow segmentation with a convolutional neural network

1 code implementation • Remote Sensing of Environment 2019 • Marc Wieland, Yu Li, Sandro Martinis

The rule-based Fmask method takes significantly longer (277. 8 s/megapixel) and produces results with an accuracy of 0. 75, Kappa of 0. 60 and Dice coefficient of 0. 72.

Segmentation Semantic Segmentation