14th International Scientific and Technical Conference
From Imagery to Map: Digital Photogrammetric Technologies
PHOTOMOD.
Future outlook
Aleksey Elizarov
Head of Software Development
Department, Racurs
October 2014, Hainan, China
PHOTOMOD History
Version 1.3
(1994)
Single stereopair processing
Central projection images
Version 2.0
(1999)
Tens, hundreds of images
Block aerotriangulation
Version 3.0
(2001)
Hundreds of images
Pushbroom satellite images processing
Semiautomatic interior orientation
Version 3.5
(2003)
Distributed network storage system
Version 4.0
(2006)
Thousands of images
Fully automatic tie points measurements
Version 5.0
(2009)
Tens thousands of images
Any number of color channels in images
Support of GPGPU computing
3D modeling
Conveyor S
(2012)
One-button solution for orthophoto creation
for satellite imagery on supercomputers
Version 6.0
(2014)
Special solution for UAS processing
Dense DSM creation
Full x64 architecture support
2
Current Photogrammetry Trends
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Larger image overlap, more multiimage
Oblique imagery
UAS
Growing data volumes
Higher precision of on-board georeferencing
3D modeling
3
Current Hardware Trends
 No significant advances in processor clock rate
~ 3 GHz
 More parallelized architectures
CPU (Intel Xeon Phi)
GPU (NVIDIA Tesla)
Computing clusters
Hundreds of computing threads
 Higher data storage volumes
≥6 TB per disk
 Higher data storage speed
≥100 MB/sec per disk (HDD)
≥500 MB/sec per disk, zero access time (SSD)
 Higher network transfer rates
4
Current Software Services Trends
Remote software access
Clouds solutions
Software as a Service
5
PHOTOMOD: Keeping Step with Technologies
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Support of all coming satellite data
UAS data support
Support of all existing georeferencing data
Support of high performance hardware architectures
Extending parallel computing on CPU
Extending parallel computing on GPGPU
Extending parallel computing on computer clusters
 Integration with web GIS services
Using web GIS services as sources of imagery
Using web GIS services as sources of georeference data
Placing output products on the web
 New licensing and software access schemes
6
PHOTOMOD: Automated Georeferencing
Implemented
In progress
 Usage of on-board georeferencing
 Automatic GCPs recognition
Detect points with known (X, Y, Z) coordinates
on source images by using existing orthophotos
Future plans
 Automatic referencing to any data:
orthophotos + height data
vector maps
georeferenced (adjusted) imagery
7
PHOTOMOD: One-Button Solutions
Implemented
In progress
 Conveyor S: one-button solution
for orthophoto creation for satellite
pushbroom imagery
 Conveyor S-DTM: one-button solution
for DTM and DSM creation for satellite
pushbroom imagery
 Conveyor A: one-button solution
for orthophoto creation for aerial imagery
Future plans
 One-button solution for all output
products for any input data
8
PHOTOMOD: Automatic vectorization
Implemented
In progress
 Vectorization patterns
 Automatic 3D vectorization tools
User selects a pattern and a search area
Future plans
 Automatic 3D vectorization
 Automatic 3D classification
User selects only object classes to recognize
9
PHOTOMOD: Realistic 3D Models
Implemented
In progress
 Automatic DSM creation
 Automatic model creation from 3D vectors
 Automatic texturing by orthophoto
 Automatic texturing by any georeferenced
image
Usage of orthophotos, oblique
and close-range imagery
Future plans
 One-button solution for 3D model
creation
10
PHOTOMOD: Localization
Implemented
In progress
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English
Russian
Spanish
Chinese
 Greek
Future plans
 More languages…
11
PHOTOMOD: Further Development
 Special processing of oblique imagery
 Adopting computer vision algorithms
Image matching
3D model creation
Object extraction
Classification
 New error assessment tools
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PHOTOMOD: Development Goals
The PHOTOMOD system tends to be:
Exact
Reliable
Flexible
Automatic
Fast
User friendly
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Thank you for attention!
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