Commit 42e778a5 authored by Cresson Remi's avatar Cresson Remi
Browse files

DOC: update documentation

parent b10b6deb
......@@ -4,13 +4,13 @@ Some examples of ready-to-use deep learning architectures built with the TensorF
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)
1. [Simple CNN](#part1)
2. [Fully convolutional network](#part2)
3. [M3Fusion Model](#part3)
4. [Maggiori model](#part4)
5. [Fully convolutional network with separate Pan/MS channels](#part5)
## Simple CNN
## Simple CNN <a name="part1"></a>
This simple model estimates the class of an input patch of image.
This model consists in successive convolutions/pooling/relu of the input (*x* placeholder).
......@@ -99,7 +99,7 @@ otbcli_TensorflowModelServe \
-out $output_classif_fcn
```
## Fully convolutional network
## Fully convolutional network <a name="part2"></a>
The `create_savedmodel_simple_fcn.py` script enables you to create a fully convolutional model which does not use any stride.
......@@ -122,7 +122,7 @@ otbcli_TensorflowModelServe \
-out $output_classif
```
## M3Fusion Model
## M3Fusion Model <a name="part3"></a>
The M3Fusion model (stands for MultiScale/Multimodal/Multitemporal satellite data fusion) is a model designed to input time series and very high resolution images.
......@@ -191,7 +191,7 @@ otbcli_TensorflowModelServe \
-output.names "prediction" -out $output_classif
```
## Maggiori model
## Maggiori model <a name="part4"></a>
This architecture was one of the first to introduce a fully convolutional model suited for large scale remote sensing images.
......@@ -242,7 +242,7 @@ otbcli_TensorflowModelServe \
-out $output_classif
```
## Fully convolutional network with separate Pan/MS channels
## Fully convolutional network with separate Pan/MS channels <a name="part5"></a>
It's common that very high resolution products are composed with a panchromatic channel at high-resolution (Pan), and a multispectral image generally at lower resolution (MS).
This model inputs separately the two sources (Pan and MS) separately.
......
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