Exelis Visual Information Solutions Capability Overview Presented to NetHope October 8, Brian Farr Academic & NGO Program Manager

Transcription

1 Exelis Visual Information Solutions Capability Overview Presented to NetHope October 8, 2013 Brian Farr Academic & NGO Program Manager

2 Agenda Overview of ENVI Platform ENVI+IDL ENVI EX ENVI LiDAR Integration with ArcGIS Data access and sharing Toolbox Model Builder Example use cases Imagery Guides Emergency Response Haiti 2010 LiDAR Processing Spectral Analysis Network Analysis Where to find other case studies

3 Who is Exelis Visual Information Solutions ENVI ENVI IDL LIDAR ENVI FX PROFESSIONAL SERVICES GROUP The latest tools for analyzing all kinds of geospatial imagery and data, including SAR, LiDAR, Multispectral, and Hyperspectral. Powerful tool for viewing and analyzing LiDAR point cloud data. ENVI Module for segmentation and Object Based Image Analysis. October 15,

4 Esri and Exelis VIS Partnership Offering a Complete GIS and Remote Sensing Solution October 15,

5 Esri and Exelis VIS Partnership Adds information to your GIS. ENVI ArcGIS October 15,

6 ENVI IMAGERY AND DATA BECOME KNOWLEDGE > Add information from imagery to your GIS > Automated workflows to get answers fast > Easily navigate through menus and options > One solution for all the data types you use October 15,

7 ENVI IMAGERY AND DATA BECOME KNOWLEDGE Add information from imagery to your GIS > Add information from imagery to your GIS > Automated workflows to get answers fast > Easily navigate through menus and options > One solution for all the data types you use October 15,

8 ENVI IMAGERY AND DATA BECOME KNOWLEDGE Automated workflows to get answers fast > Add information from imagery to your GIS > Automated workflows to get answers fast > Easily navigate through menus and options > One solution for all the data types you use October 15,

9 Easily navigate through menus and options ENVI IMAGERY AND DATA BECOME KNOWLEDGE > Add information from imagery to your GIS > Automated workflows to get answers fast > Easily navigate through menus and options > One solution for all the data types you use October 15,

10 Easily navigate through menus and options ENVI IMAGERY AND DATA BECOME KNOWLEDGE > Add information from imagery to your GIS > Automated workflows to get answers fast > Easily navigate through menus and options > One solution for all the data types you use October 15,

11 Easily navigate through menus and options ENVI IMAGERY AND DATA BECOME KNOWLEDGE > Add information from imagery to your GIS > Automated workflows to get answers fast > Easily navigate through menus and options > One solution for all the data types you use October 15,

12 Easily navigate through menus and options ENVI IMAGERY AND DATA BECOME KNOWLEDGE > Add information from imagery to your GIS > Automated workflows to get answers fast > Easily navigate through menus and options > One solution for all the data types you use October 15,

13 ENVI IMAGERY AND DATA BECOME KNOWLEDGE One solution for all the data types you use > Add information from imagery to your GIS > Automated workflows to get answers fast > Easily navigate through menus and options > One solution for all the data types you use October 15,

14 ENVI Platform ENVI focuses on extracting and presenting useful data from imagery ENVI FX > Image Segmentation > Patented algorithm for edge detection >Image Segmentation >Rule based feature extraction > Rule based feature extraction > Example based feature extraction >Example based feature extraction October 15,

15 ENVI Platform ENVI focuses on extracting and presenting useful data from imagery ENVI EX >Image Segmentation >Rule based feature extraction >Example based feature extraction October 15,

16 ENVI LiDAR IMAGERY AND DATA BECOME KNOWLEDGE > Prepare LiDAR Data for Geospatial Analysis > Identify & Extract 3D Features > Export Results to ENVI and ArcGIS October 15,

17 Prepare LiDAR Data for Geospatial Analysis ENVI LiDAR IMAGERY AND DATA BECOME KNOWLEDGE > Prepare LiDAR Data for Geospatial Analysis > Identify & Extract 3D Features > Export Results to ENVI and ArcGIS October 15,

18 Identify & extract 3D features of interest ENVI LiDAR IMAGERY AND DATA BECOME KNOWLEDGE > Prepare LiDAR Data for Geospatial Analysis > Identify & Extract 3D Features > Export Results to ENVI and ArcGIS October 15,

19 ENVI LiDAR IMAGERY AND DATA BECOME KNOWLEDGE Export results to ENVI and ArcGIS with the push of a button > Prepare LiDAR Data for Geospatial Analysis > Identify & Extract 3D Features > Export Results to ENVI and ArcGIS October 15,

20 ENVI Platform ENVI focuses on extracting and presenting useful data from imagery ENVI and ArcMap Integration Data Level >Preprocessing and data ingest >Robust tools >Workflows >Extensibility >ArcMap Integration October 15,

21 ENVI Platform ENVI focuses on extracting and presenting useful data from imagery ENVI and ArcMap Integration Tool Level >Preprocessing and data ingest >Robust tools >Workflows >Extensibility >ArcMap Integration October 15,

22 ENVI Platform ENVI focuses on extracting and presenting useful data from imagery ENVI and ArcMap Integration Workflow Level Data Output Raster ArcGIS >Preprocessing and data ingest >Robust tools Finished Product >Workflows >Extensibility >ArcMap Integration October 15,

23 ENVI Platform ENVI focuses on extracting and presenting useful data from imagery ENVI and ArcMap Integration Application Level >Preprocessing and data ingest >Robust tools >Workflows >Extensibility >ArcMap Integration October 15,

24 Using LiDAR and Imagery for Disaster Relief Efforts Case Study for Haiti

25 Background Information > A magnitude 7.0 earthquake struck at 4:53 pm on January 12, 2010 > Quake epicenter was 15 miles WSW of Port-Au-Prince ( N, W) > 212,000 killed 300,000 injured 1.2 million displaced > Over 30% of the buildings in Port au Prince were destroyed or damaged Imagery and Lidar data courtesy of the RIT Haiti Mission for the World Bank (January 21-27, 2010)

26 Objectives > Inventory buildings and assess building damage. > Locate refugees in need of aid. > Locate areas to land ground teams. > Locate ways to route ground teams to refugee camps. Resources > DigitalGlobe Worldview-2 Scene from after event. > LiDAR coverage of Port-au-Prince from RIT/World Bank project. > ENVI, ENVI LiDAR, and ArcGIS

27 Analyst Role LiDAR Processing ENVI LiDAR: Produces layers of relevance such as DSM, DEM, and building footprints and roof shape polygons. ENVI: DEM Processing is performed to calculate the heights of above ground features and separate roads from structures and debris. Spectral Analysis ENVI: Blue tarp signature is used to extract blue tarp locations from the scene to locate refugees. ArcGIS: Density maps highlight locations where refugees are located. Network Analysis ENVI: Road networks are extracted from LiDAR data and manually cleaned up. ArcGIS: Road networks are imported to a network dataset. Obstructions from ENVI are used as barrier inputs for ground team routing. 27

28 LiDAR Processing > LiDAR data will be used to map road networks. > Catalogue standing buildings and their extant shapes. > Assess the distribution of debris. > Use ENVI LiDAR to process LiDAR data to extract features, create an orthophoto and DEM > Examine the results with the 3D Viewer in ENVI LiDAR > Use ENVI Feature Extraction tool to extract the road networks

29 LiDAR Processing Steps > Use ENVI LiDAR to process LiDAR data to extract building footprint and roof shape features, and create an orthophoto, DSM, and DEM. > Examine the results with the 3D Viewer in ENVI LiDAR. > Use ENVI to extract feature heights layer from DSM and DEM. > Map road networks and debris networks from LiDAR feature heights layer through threshold classification. > Generalize debris and road networks to appropriate vector file types and export to an ArcGIS Geodatabase. 29

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32 Extracting debris and the road network DSM minus DEM Equals the vertical obstruction layer 32

33 Threshold Classification Results Red = road surface Green = debris Blue = buildings and taller structures 33

34 Using ArcGIS Network Analyst to Resolve Potential Routes 34

35 Analyst Role LiDAR Processing ENVI LiDAR: Produces layers of relevance such as DSM, DEM, and building footprints and roof shape polygons. ENVI: DEM Processing is performed to calculate the heights of above ground features and separate roads from structures and debris. Spectral Analysis ENVI: Blue tarp signature is used to extract blue tarp locations from the scene to locate refugees. ArcGIS: Density maps highlight locations where refugees are located. Network Analysis ENVI: Road networks are extracted from LiDAR data and manually cleaned up. ArcGIS: Road networks are imported to a network dataset. Obstructions from ENVI are used as barrier inputs for ground team routing. 35

36 Blue Tarp Analysis: Blue tarps concentrations can be used To identify the locations of displaced people. Blue tarps are also spectrally distinct.

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38 Routing Priority Determination > Now that we have extracted blue tarps, we can create a point density map using ArcGIS Spatial Analyst to determine where concentrations of refugees are.

39 Analyst Role LiDAR Processing ENVI LiDAR: Produces layers of relevance such as DSM, DEM, and building footprints and roof shape polygons. ENVI: DEM Processing is performed to calculate the heights of above ground features and separate roads from structures and debris. Spectral Analysis ENVI: Blue tarp signature is used to extract blue tarp locations from the scene to locate refugees. ArcGIS: Density maps highlight locations where refugees are located. Network Analysis ENVI: Road networks are extracted from LiDAR data and manually cleaned up. ArcGIS: Road networks are imported to a network dataset. Obstructions from ENVI are used as barrier inputs for ground team routing. 39

40 Road Obstruction and Ground Team Routing When disasters occur, not all road networks remain navigable. How do we tell which ones are usable? Presentation title Calibri Regular 9 pt October 15,

41 Ground Team Routing > Road network is input into ArcMap > ArcGIS Network Analyst is used to solve routing problems in the resulting network. > Layers extracted from ENVI LiDAR and ENVI Network Analyst can provide additional routing context.

42 Debris Layer Calculation > The debris classification layer from the threshold is separated from the other layers. > The debris raster is then generalized and converted to a polygon class.

43 Debris Density Calculation > Debris polygons are converted to attribute rich polygon centroids. > These centroids are then used to calculate a point density layer, weighted by area (larger debris contributes more to density).

44 Debris Density Calculation > The point density layer is then thresholded and exported to two different polygon classes. > High values are considered complete barriers. Medium values increase the network traversal cost.

45 Synthesis LiDAR Processing ENVI LiDAR: Produces layers of relevance such as DSM, DEM, and building footprints and roof shape polygons. ENVI: DEM Processing is performed to calculate the heights of above ground features and separate roads from structures and debris. Spectral Analysis ENVI: Blue tarp signature is used to extract blue tarp locations from the scene to locate refugees. ArcGIS: Density maps highlight locations where refugees are located. Network Analysis ENVI: Road networks are extracted from LiDAR data and manually cleaned up. ArcGIS: Road networks are imported to a network dataset. Obstructions from ENVI are used as barrier inputs for ground team routing. 45

46 Network Analyst Techniques for Routing Once the dense debris is added to the network analysis layer as a polygon barrier, routes which do not cross dense debris can be obtained. 46

47 Network Analyst Techniques for Routing If multiple helicopter landing zones are being considered, routes from and to different refugee camps can be evaluated using the closest facility tool in Network Analyst. 47

48 Summary > LiDAR is becoming a critical component of disaster relief planning. > Imagery combined with LiDAR data can be used as inputs to support emergency response to crises like earthquakes. > Inputs from LiDAR processed with ENVI LiDAR and ENVI can be used in ArcGIS Network Analyst to provide real world constraints when solving mission routing problems. > LiDAR can help emergency responders inventory buildings, land ground teams, find passable routes, and otherwise support crisis response efforts.

49 Web Resources Case Studies and White Papers Product Information and Tutorials Product Documentation

50 Thank You Brian Farr Academic & NGO Program Manager