add dataset link

Dataset/Readme.html

@@ -1208,4 +1208,4 @@ <h2 id="making-dataset">Making Dataset<a class="headerlink" href="#making-datase
 </tr>
 </tbody>
 </table>
-<p>The dataset can be downloaded from <a href="https://pan.baidu.com/s/1BW8ZsP2TXqNU1MJFQrzZBQ">BaiduPan</a> (accessed on 13 August 2021), the extraction code is <code>d7fk</code>.</p></article></body></html>
+<p>The dataset can be downloaded from <a href="https://pan.baidu.com/s/1BW8ZsP2TXqNU1MJFQrzZBQ">BaiduYunPan</a> (accessed on 13 August 2021), the extraction code is <code>d7fk</code>.</p></article></body></html>

Dataset/Readme.md

@@ -40,7 +40,7 @@ Table3: Information of  selected regions.
 
 
 
-The dataset can be downloaded from [BaiduPan](https://pan.baidu.com/s/1BW8ZsP2TXqNU1MJFQrzZBQ) (accessed on 13 August 2021), the extraction code is ``d7fk``.
+The dataset can be downloaded from [BaiduYunPan](https://pan.baidu.com/s/1BW8ZsP2TXqNU1MJFQrzZBQ) (accessed on 13 August 2021), the extraction code is ``d7fk``.
 
 
 

PAFnet/README.md

@@ -6,12 +6,7 @@ This is a PyTorch implementation of paper "AFnet and PAFnet: Fast and Accurate S
 
 # Dataset
 
-The dataset can be downloaded from Baidu Yun or Google Drive:
-
-```
-
-
-```
+The dataset can be downloaded from [BaiduYunPan](https://pan.baidu.com/s/1BW8ZsP2TXqNU1MJFQrzZBQ) (accessed on 13 August 2021), the extraction code is ``d7fk``.
 
 
 # Training

README.md

@@ -4,28 +4,29 @@ Codes and dataset for machine learning-based Synthetic Aperture Radar (SAR) auto
 
 # Folder Description
 
-- ``Dataset``: contains all information about dataset. 
-- ``ECELMs`` : contains code of  *Ensemble Convolutional Extreme Learning Machine based Autofocus Algorithms*, such as Bagging-ECELMs.
-- ``PAFnet`` : contains code of  *AFnet and PAFnet: Fast and Accurate SAR Autofocus Based on Deep Learning*.
+- [Dataset](./Dataset/Readme.md): contains all information about dataset. 
+- [ECELMs](./ECELMs/README.md) : contains code of  *Ensemble Convolutional Extreme Learning Machine based Autofocus Algorithms*, such as Bagging-ECELMs.
+- [PAFnet](./PAFnet/README.md) : contains code of  *AFnet and PAFnet: Fast and Accurate SAR Autofocus Based on Deep Learning*.
 
 
 # Algorithms
 
-1. Bagging-ECELMs: Fast SAR Autofocus based on Ensemble Convolutional Extreme Learning Machine, 2021,  [pdf](https://www.mdpi.com/2072-4292/13/14/2683/pdf), [doi](https://www.mdpi.com/2072-4292/13/14/2683)
-
+1. ``Bagging-ECELMs``: Fast SAR Autofocus based on Ensemble Convolutional Extreme Learning Machine, 2021,  [pdf](https://www.mdpi.com/2072-4292/13/14/2683/pdf), [doi](https://www.mdpi.com/2072-4292/13/14/2683)
+2. ``AFnet`` and ``PAFnet``: Fast and Accurate SAR Autofocus Based on Deep Learning, 2021, submitted to TIP
 
 # Usage
 
 ## Dependencies
 
 You need first to install our SAR library ( ``torchsar`` ) by excuting the following command:
 
-Please see [torchsar](https://aisari.iridescent.ink/torchsar/) for details.
+Please see [torchsar](https://aisari.iridescent.ink/torchsar/) for details. The package can be installed by
 
 ```bash
 pip install torchsar
 ```
 
+
 **Now, all platforms are supported and part of the source code is open!**
 
 # Citation