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Update OTB Users Day 2018 (add Gérald Fenoy talk) authored by Rémi Cresson's avatar Rémi Cresson
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...@@ -35,7 +35,7 @@ The morning session will be dedicated to short talks from users and contributors ...@@ -35,7 +35,7 @@ The morning session will be dedicated to short talks from users and contributors
## 09:30 - 10:30 : Talks Part 1 ## 09:30 - 10:30 : Talks Part 1
(*all talks must be confirmed*) (*all talks must be confirmed*)
* SAR Sentinel-1 images pre-processing : a processing chain in Python, based upon OTB. * SAR Sentinel-1 images pre-processing : a processing chain in Python, based upon OTB.
* Integration of OTB in remote platform
* **[CONFIRMED]** Testing OTB's Segmentation methods (Agustin Lobo - ICTJA-CSIC) * **[CONFIRMED]** Testing OTB's Segmentation methods (Agustin Lobo - ICTJA-CSIC)
> Image segmentation partitions the image into patches that are internally consistent in terms of image properties. This is an important step in those (most common) cases in which landscape units of interest are configured by many non-uniform pixels and thus single-pixel properties are not sufficient to characterize a unit type. Segmentation becomes increasingly important as remotely sensed imagery becomes of increasing spatial resolution. In this presentation, after a brief introduction, I will focus on practical aspects of segmentation with OTB such as the impact of varying the different parameters involved in Mean-Shift based segmentation. > Image segmentation partitions the image into patches that are internally consistent in terms of image properties. This is an important step in those (most common) cases in which landscape units of interest are configured by many non-uniform pixels and thus single-pixel properties are not sufficient to characterize a unit type. Segmentation becomes increasingly important as remotely sensed imagery becomes of increasing spatial resolution. In this presentation, after a brief introduction, I will focus on practical aspects of segmentation with OTB such as the impact of varying the different parameters involved in Mean-Shift based segmentation.
...@@ -50,6 +50,10 @@ The morning session will be dedicated to short talks from users and contributors ...@@ -50,6 +50,10 @@ The morning session will be dedicated to short talks from users and contributors
In this context and for a project provided by the french forest national office (ONF), in order to deliver a near real tile deforestation monitoring process, we develop a set of tools allowing to monitor deforestation using Sentinel-1 data. The main process of the approach are (i) Calibration and Orthorectification over user study area (shape file), (ii) Temporal Adaptive speckle filtering, (iii) Adjust time series level and smooth it, (iv) Deforestation analysis. Deforestation analysis is based on applying a threshold of the differences between a reference date (usually the oldest date) to the current date. If this change is significant we expect a deforestation process and give the current date as deforested label in the deforestation map. In this context and for a project provided by the french forest national office (ONF), in order to deliver a near real tile deforestation monitoring process, we develop a set of tools allowing to monitor deforestation using Sentinel-1 data. The main process of the approach are (i) Calibration and Orthorectification over user study area (shape file), (ii) Temporal Adaptive speckle filtering, (iii) Adjust time series level and smooth it, (iv) Deforestation analysis. Deforestation analysis is based on applying a threshold of the differences between a reference date (usually the oldest date) to the current date. If this change is significant we expect a deforestation process and give the current date as deforested label in the deforestation map.
This open source tool box is mainly based on Orfeo ToolBox for Sentinel-1 pre-processing and is based on specific python script. All the toolbox is integrated in QGIS and available in a QGIS RemoteSensing toolbox for windows or using the following for Ubuntu users https://gitlab.com/clardeux/FOSS4G-fr-2018-Atelier-Radar. This open source tool box is mainly based on Orfeo ToolBox for Sentinel-1 pre-processing and is based on specific python script. All the toolbox is integrated in QGIS and available in a QGIS RemoteSensing toolbox for windows or using the following for Ubuntu users https://gitlab.com/clardeux/FOSS4G-fr-2018-Atelier-Radar.
* **[CONFIRMED] ** ZOO-Project: the way to use OTB applications as WPS services
The ZOO-Project is an open source software which provides a Web Processing Service (WPS) compliant and developer-friendly framework to easily create and chain Open Geospatial Consortium (OGC) Webservices. It supports both 1.0.0 and 2.0.0 versions of the OGC specification. It can handle execution of WPS Services implemented in various programming languages and can also take advantages of various processing engine such as OrfeoToolBox (OTB). Using this ZOO-Project support gives users the capacity to use OTB applications remotely from any WPS client. The presentation will quickly introduce the specific capabilities of the ZOO-Project such as automatic publication of result using OGC Web Services through MapServer and how this can used when using OTB applications as WPS services. Also the current development status of the High Performance Computing (HPC) support in the ZOO-Project will be presented. With this support, one will be able to not only to execute OTB applications that runs locally to the WPS Server but also invoke OTB applications that will run on HPC server.
## 10:30 - 10:50 : Coffee break ## 10:30 - 10:50 : Coffee break
## 10:50 - 12:30 : Talks Part 2 ## 10:50 - 12:30 : Talks Part 2
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