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Future of Photogrammetry Rolta’s Vision. Agenda. Technological developments in Photogrammetry 3D mapping – Choosing the right combination Future of Photogrammetry Generation next. Technological developments in Photogrammetry: Data Acquisition and Processing. - PowerPoint PPT Presentation
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Future of Photogrammetry
Rolta’s Vision
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Agenda
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Technological developments in Photogrammetry
3D mapping – Choosing the right combination
Future of Photogrammetry
Generation next
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Technological developments in
Photogrammetry:
Data Acquisition and Processing
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Technological Developments - Data
Acquisition
4
Aerial digital camera systems
High resolution stereo satellite data
Integration with LiDAR systems
Sophisticated Sensor Models
Sensor advancements active/passive sensors
Real-time processing through automation
Self calibration of data collection instruments
New sensors for navigation-based georeferencing and imaging
(2D / 3D)
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Technological Developments - Data
Processing
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Automatic sensor fusion based on the metadata
Unlimited computing power, storage and bandwidth
Automatic aerial triangulation and bundle adjustment
Utilization of open source software
Automatic large volume DTM Extraction
Automated 3D “Above ground” Feature
Automated true orthophoto generation
Request query capability and retrieval
‘GIS driven’ data processing and storage
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3D mapping:
Choosing the right combination
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Depends on the Project Requirements
Example 01
• Large Areas• Purpose: Base Mapping• Difficult to Obtain Control Points or Want to minimize the Cost of
Survey• Large Scale Mapping• Deliverables: Orthos, Contours, DTM…etc• Flying Permits Easy to Obtain• Timeline is not critical
Digital Aerial Photography Technology
(Push Broom or Frame Based)
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Depends on the Project Requirements
Example 02
• Application Base Mapping• Small Area• Flying Permits Difficult to Obtain• Accuracy is not Tight• Timeline is critical
Stereo Satellite Imagery (QuickBird, WorldView, GeoEye , SPOT, IKONOS)
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Depends on the Project Requirements
Example 03
• Application : Utility mapping, Corridor Mapping• Area Difficult to Fly during the Daytime because of proximity to
Airport• Timeline Critical
LiDAR Technology
Complement with satellite imagery if the Imagery is required
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Depends on the Project Requirements
Example 04
• Quick ortho along with detailed 3D feature mapping
• Large Project Area
LiDAR with Aerial Photography
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Future of Photogrammetry
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Future of Photogrammetry
• Very high resolution (<20 cm) satellite stereo
• Automatic 3D feature extraction
• On the fly ortho mosaic
• Web based Photogrammetry
• Photogrammetry on the cloud
• RDBMS support for storage and publishing
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Generation next
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Generation next
• Affordable photogrammetric infrastructure
• Seamless Integration with GIS solutions utilising the latest computing powers such as cloud
• Automated processes
• 3D maps on the fly for all geospatial applications
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Advances in Hardware • Distributed Parallel Processing
• Multithreading
• Dual Quad Core Computer systems
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Pixel Factory
Multi-End Products
Multi-Sensor
Multi-Data Source
Pixel Factory throughput is about
3 times less labor intensive
High capacity and native open architecture is able to automatically process vast volumes of raw earth observation data from multiple sensors and produce a wide range of cartographic end products (e.g. Digital Surface Models, True Ortho, and Ortho mosaics)
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True Ortho
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Traditional Orthoimage
- Rectified from a DTM (ground floor)
- Slanted building
- Occluded areas
True Orthoimage
- Rectified from a DSM
- Straight buildings (roofs correctly located)
- No occluded areas
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OrthoPhoto – Ground and True Ortho
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Dat
a Im
po
rt AT
DE
M c
om
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on
Ort
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-rec
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Cu
t lin
e co
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Imag
e m
osa
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QC
To
tal
wit
ho
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QC
To
tal w
ith
QC
PF vs Traditional
Pixel Factory
Traditional
Pixel Factory Performance Comparison
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Rolta GeoImaging Accelerator
Combines High Performance Computing with Geospatial Intelligence to provide a significant improvement in speed and efficiency
• A hardware-based, GPU enabled, high-performance image processing system
• Design to process large volumes of imagery data
– 40 times faster than standard Image processing software
– 2-4 TB per day for desk-side system
– 10 TB + for rack mounted system
• Addresses Core Competencies:
• Orthorectification
• Pansharpening
• Mosaics
• DEM Extraction
• Image Processing
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Product Type
Dataset MB/Sec GB/Min TB/Day
SPOT5
- Level 1A 2.5 meter 8U Pan 24.23 1.42 2.00
IKONOS
- Geo Ortho Kit 16U Pan Ikonos 35.67 2.09 2.94
WorldView-1 and
QuickBird Level 1B 16U Pan 39.59 2.32 3.26
QuickBird- OrthoReady- 4 channel PS
16U Multispectral 42.67 2.50 3.52
QuickBird
- Level 1B 16U Multispectral 55.47 3.25 4.57
Pro
cess
ing
Th
rou
gh
pu
tRolta GeoImaging AcceleratorRolta GeoImaging Accelerator
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A Federal Security Agency
The Federal Security Agency has multiple standalone systems.Among these systems, data can exist in different formats,
different coordinate systems, and different business systems.
The Agency needs to be able to consume all this dataAnd offer it to various stakeholders as a standardized, seamless and
integrated dataset
CRIME ANALYSIS TRAFFIC
FUSION COREOracle Spatial
Map Info
ESRI Geo DB
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Is it possible? – Integration of businesses
The Agency should then have a tool through which the information can collaborateAnd this has to be repeated for each and every layer.
Secure GIS Private Secure GIS Private CloudCloud
CRIME ANALYSIS TRAFFIC
FUSION COREOracle Spatial
Map Info
ESRI Geo DB
The Federal Agency must access both spatial and non-spatial data from these disparate systems,each using different technologies
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Secure GIS Private Cloud
Amazon Cloud
Rolta iPerspective Rolta OnPoint
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Rolta GIS Cloud Enterprise Integration
IIdentity dentity ManagementManagement
WWS CatalogS Catalog Asset Asset ManagementManagement
Location basedLocation basedServicesServices
ArcGISArcGIS
CRIME ANALYSIS TRAFFIC
FUSION COREOracle Spatial
Map Info
ESRI Geo DB
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