Awesome

Code for the paper "Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data" (Accepted in IGARSS 2019)

This is the github repository containing the code for the paper "Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data" by Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou, Siddharth Gupta, Konstantinos Karantzalos.

MultiDate-LSTM code is available here. Use igarss2019 branch of this repository to reproduce our IGARSS 2019 paper.

Requirements

The code has been tested on:

4xNvidia P100 GPU
Ubuntu 18.04 LTS on 96 vCPUs and 240 GB of RAM (Large scale inference will be slower on other configurations)
Pytorch v0.4.0
Opencv 3.0

Urbanization detection output

<img src="https://sagarverma.github.io/others/CD_IGARSS_2019.png">

Multidate Sentinel-2 dataset

OSCD
OSCD + Our Dates [Will be cleaned soon]

Contact

For any queries, please contact

Sagar Verma: sagar@granular.ai