Commit b10b6deb authored by Cresson Remi's avatar Cresson Remi
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DOC: update documentation

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Some examples of ready-to-use deep learning architectures built with the TensorFlow API from python.
All models used are provided in this directory.
**Table of Contents**
1. [Simple CNN](#Simple-CNN)
2. [Fully convolutional network](#Fully-convolutional-network)
3. [M3Fusion Model](#M3Fusion-Model)
4. [Maggiori model](#Maggiori-model)
5. [Fully convolutional network with separate Pan/MS channels](#Fully-convolutional-network-with-separate-Pan/MS-channels)
## Simple CNN
This simple model estimates the class of an input patch of image.
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## M3 Model
## M3Fusion Model
The M3 model (stands for MultiScale/Multimodal/Multitemporal satellite data fusion) is a model designed to input time series and very high resolution images.
The M3Fusion model (stands for MultiScale/Multimodal/Multitemporal satellite data fusion) is a model designed to input time series and very high resolution images.
Benedetti, P., Ienco, D., Gaetano, R., Ose, K., Pensa, R. G., & Dupuy, S. (2018). _M3Fusion: A Deep Learning Architecture for Multiscale Multimodal Multitemporal Satellite Data Fusion_. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(12), 4939-4949.
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