Phoenix - Your AI AssistantDeep learning model for Bi-Temporal SAR Flash-Flood Detection
- Posted:
- Proposals: 4
- Remote
- #4414701
- Awarded
have already sent a proposal. Description
Experience Level: Entry
Hello,
I need an expert in the satellite images processing and doing deep learning model.
I want same as the methodology described in "Deep-Learning Integration of CNN–Transformer and U-Net for Bi-Temporal SAR Flash-Flood Detection" (Noori et al., 2025).
the inputs are here:
https://drive.google.com/drive/folders/1e9FDfMum5mFTHAMs1PbhQ65YJw1q92hN?usp=drive_link
check the attached paper for the methodology I want exact.
due date is on Wednesday 13 August.
I need an expert in the satellite images processing and doing deep learning model.
I want same as the methodology described in "Deep-Learning Integration of CNN–Transformer and U-Net for Bi-Temporal SAR Flash-Flood Detection" (Noori et al., 2025).
the inputs are here:
https://drive.google.com/drive/folders/1e9FDfMum5mFTHAMs1PbhQ65YJw1q92hN?usp=drive_link
check the attached paper for the methodology I want exact.
due date is on Wednesday 13 August.
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-
Rowida,
Do you have a preference for the deep learning framework to be used (e.g., PyTorch or TensorFlow) for implementing the CNN–Transformer and U-Net integration?
Thanks
Naresh -
Could you confirm if you need any preprocessing of the SAR images (like speckle filtering or terrain correction) before implementing the model?