Skip to content

Commit f5d8742

Browse files
authored
Update README.md
1 parent 0faf8cd commit f5d8742

1 file changed

Lines changed: 9 additions & 7 deletions

File tree

README.md

Lines changed: 9 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -6,22 +6,19 @@
66
77
## Synopsis
88

9-
WaterDetect is an end-to-end algorithm to generate open water cover mask, specially conceived for L2A Sentinel 2 imagery from [MAJA](https://logiciels.cnes.fr/en/content/maja) processor. It can also be used for Landsat 8 images and for other clustering tasks, as it returns as results, besides the water masks, the clustering. <br>
9+
WaterDetect is an end-to-end algorithm to generate open water cover mask, specially conceived for L2A Sentinel 2 imagery from [MAJA](https://logiciels.cnes.fr/en/content/maja) processor. It can also be used for Landsat 8 images and for other multispectral clustering/segmentation tasks.<br>
1010

1111
The water masks produced by WaterDetect are being used in water qualty products (Obs2Co) and multi-temporal water maps (Surfwater). Both chains are supported by the "SWOT-Downstream" program by CNES. Products are provided by the THEIA / Hydroweb-NG platform.
1212

1313
The WaterDetect algorithm uses a multidimensional agglomerative clustering technique on a subsample of the scene's pixels, to group them in classes, and a naive bayes classifier to generalize the results for the whole scene, as summarized in the following picture:
1414

15-
All the details and tests has been described in the article <b>Automatic Water Detection from Multidimensional Hierarchical Clustering for Sentinel-2 Images and a Comparison with Level 2A Processors<b>, under revision by the journal Remote Sensing of Environment.
15+
![Screenshot](GraphicalAbstract.JPG)
16+
17+
All the details and tests has been described in the article <b>Automatic Water Detection from Multidimensional Hierarchical Clustering for Sentinel-2 Images and a Comparison with Level 2A Processors</b>, under revision by the journal Remote Sensing of Environment.
1618

1719
How to cide:
1820
Cordeiro, M.C.R, Martinez, J.-M., Pena Luque, S., 2020. Automatic Water Detection from Multidimensional Hierarchical Clustering for Sentinel-2 Images and a Comparison with Level 2A Processors. Remote Sensing of Environment XX, XX.
1921

20-
## Contributors
21-
> Author: Maurício Cordeiro (ANA/GET)<br>
22-
> Supervisor: Jean-Michel Martinez (IRD/GET)<br>
23-
> Validation dataset: Santiago Pena Luque (CNES)
24-
2522

2623

2724
## Dependencies
@@ -66,6 +63,11 @@ If the config file is not specified, the script will search for WaterDetect.ini
6663

6764
## Config File
6865

66+
## Contributors
67+
> Author: Maurício Cordeiro (ANA/GET)<br>
68+
> Supervisor: Jean-Michel Martinez (IRD/GET)<br>
69+
> Validation dataset: Santiago Pena Luque (CNES)
70+
6971
## License
7072
This code is licensed under the [GNU General Public License v3.0](https://github.com/cordmaur/WaterDetect/blob/master/LICENSE) license. Please, refer to GNU's webpage (https://www.gnu.org/licenses/gpl-3.0.en.html) for details.
7173

0 commit comments

Comments
 (0)