Correlator 3 D Software Overview Maxime Deraspe Sales

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Correlator 3 D™ Software Overview Maxime Deraspe Sales & Marketing Director Sim. Active Inc.

Correlator 3 D™ Software Overview Maxime Deraspe Sales & Marketing Director Sim. Active Inc. IMAGE

Agenda ¨ Sim. Active: Innovation to marketplace ¨ ¨ ¨ ¨ ¨ Partial List

Agenda ¨ Sim. Active: Innovation to marketplace ¨ ¨ ¨ ¨ ¨ Partial List of Our Valued Customers Mission Statement Growing Challenges Design Criterion: Keep it Simple! Sim. Active Positioning Correlator 3 D™ ¨ Input & Output ¨ Modules ¨ Workflow Examples Processing Time and Output Quality Benefits in a Nutshell Contact us

Sim. Active: Innovation to Marketplace ¨ ¨ ¨ Company was founded in 2003 to

Sim. Active: Innovation to Marketplace ¨ ¨ ¨ Company was founded in 2003 to develop and market innovative geospatial technologies Sim. Active’s products result from several years of R&D and usability testing Technology builds on advanced computer vision algorithms that differ from traditional techniques

Partial List of Our Valued Customers

Partial List of Our Valued Customers

Mission Statement YOUR OBJECTIVE YOUR REALITY THE SOLUTION Generate geospatial data from aerial imagery

Mission Statement YOUR OBJECTIVE YOUR REALITY THE SOLUTION Generate geospatial data from aerial imagery Long, complex and expensive process Correlator 3 D™ Sim. Active’s mission is to constantly develop and market cutting-edge technologies that simplify and enhance geospatial data production

Growing Challenges Expensive Not User-Friendly • Only 30% project costs for data acquisition, remaining

Growing Challenges Expensive Not User-Friendly • Only 30% project costs for data acquisition, remaining 70% associated with production • Complex software tools Geospatial Data Production Skills and Knowledge Long Process • Highly-trained personnel required • Several months usually required for data delivery

Design Criterion: Keep it Simple! Competitor Product Example Correlator 3 D™

Design Criterion: Keep it Simple! Competitor Product Example Correlator 3 D™

Sim. Active Positioning Raw Data • Images • GPS / IMU data Core Data

Sim. Active Positioning Raw Data • Images • GPS / IMU data Core Data • • DSM DTM Orthophotos 3 D Changes Correlator 3 D™ Higher-level Data • Mosaics • Polygonal 3 D models • Etc.

Correlator 3 D™ INPUT Aerial images (overlapping) • Color, panchromatic, infrared Orientation Parameters •

Correlator 3 D™ INPUT Aerial images (overlapping) • Color, panchromatic, infrared Orientation Parameters • Exterior: GPS/IMU data • Interior: focal length, pixel size, distortion parameters Coarse DEM • CDED, DTED, SRTM OUTPUT Refined ext. orientation Logiciel Correlator 3 D DSM DTM Orthophotos 3 D Changes

Correlator 3 D™ Modules Exterior Orientation Refinement DSM Generation DTM Extraction Orthorectification 3 D

Correlator 3 D™ Modules Exterior Orientation Refinement DSM Generation DTM Extraction Orthorectification 3 D Change Detection

Workflow Prepare Input Data 1 • Camera calibration (ASCII file) • Exterior orientation (ASCII

Workflow Prepare Input Data 1 • Camera calibration (ASCII file) • Exterior orientation (ASCII file) • Selection of a coarse DEM • Specification of output characteristics Correlator 3 D™ – Automatic Processing 2 • Images are processed individually or pair-by-pair • No human intervention required • Runs on standard PC with 3 D graphics card Visualize / use data 3 • Data produced in standard formats

Example #1 – Urban Area Ortho DSM@@20 cm DTM 1 m

Example #1 – Urban Area Ortho DSM@@20 cm DTM 1 m

Example #2 – Rural Area DTM DSM@ @20 cm 1 m Ortho

Example #2 – Rural Area DTM DSM@ @20 cm 1 m Ortho

Example #3 – New Building Imagery @ 40 cm (Jul. 2006) Imagery @ 5

Example #3 – New Building Imagery @ 40 cm (Jul. 2006) Imagery @ 5 cm (Oct. 2000) Detected Changes DSM @ 3 m DSM @ 1 m

Example #4 – Demolished Building Imagery @ 40 cm (Jul. 2006) Imagery @ 5

Example #4 – Demolished Building Imagery @ 40 cm (Jul. 2006) Imagery @ 5 cm (Oct. 2000) Detected Changes DSM @ 3 m DSM @ 1 m

Processing Time & Output Quality ¨ Statistics for 250 large format images (100 MP)

Processing Time & Output Quality ¨ Statistics for 250 large format images (100 MP) at 20 cm covering 400 km 2 Task Processing Time Data Quality Preparation 10 min EO Refinement 30 min 20 cm H. Accuracy DSM Generation 250 x 1 min. /image = 250 min 1 m H. Resolution / 20 cm V. Accuracy DTM Extraction 20 min 1 m H. Resolution / 20 cm V. Accuracy Orthorectification 250 x 1 min. /image = 250 min 20 cm H. Accuracy Total 9 hours

Benefits in a Nutshell FASTER. . . • Up to 60 times faster than

Benefits in a Nutshell FASTER. . . • Up to 60 times faster than currently available tools • Data production can be performed in parallel on multiple machines • Software designed to quickly process thousands of images EASIER… • Minimal software and data manipulation requirements • Highly-trained personnel are no longer required, virtually no parameters to set • Easy integration into any third-party workflow BETTER. . . • Better geospatial data at the fraction of the cost • Uses advanced computer vision algorithms • Produced data are ready-to-use • Cost-effective alternative to LIDAR data

Contact us Maxime Deraspe Sales & Marketing Director Sim. Active Inc. Tel. : 514.

Contact us Maxime Deraspe Sales & Marketing Director Sim. Active Inc. Tel. : 514. 288. 2666 ext. 24 Fax: 514. 288. 6665 Cel. : 514. 601. 6266 mderaspe@simactive. com www. simactive. com