dibmetsat-3d from 2d to 3d machine vision based met ... · pdf file20 0.229 -0.009 0.099 0.294...

1

DIBMETSATMachine Vision guided Met-Services for

Air Traffic Management1.4.2009 - 31.3.2011

DIBMETSAT-3DFrom 2D to 3D Machine Vision based Met-

Services for Air Traffic Management: a progress in data and algorithms

1.7.2010 - 30.6.2012

2

Project Goals

Support for air controllers

• More accurate images and measurements of current weather conditions

• Regulation of runway configuration• Routing of incoming aircrafts

• Automated messages from weather radar and satellite images

• Preparation and correction of weather radar data

• New measurements for improved visibility estimation and cloud coverage analysis

3

Project Tasks

• Artefacts and shadowing in weather radar data

– Automated detection – Spatial localization

4

Project Tasks

• Topography and land cover-related transfer functions

– Fusion with MeteoSat (MSG) data channels

• Reconstruction of weather radar images

– Partially corrupted weather radar images– Correct, plausible precipitation values

5

Project Tasks

• Analysis and Interpretation of visibility and coverage

• Software demonstrator

– Evaluation and validation of results with ground truth data– Integrated prototype (pre-operational)

6

Visibility test scenario: Airport Graz

7

Corresponding method selectionfor each landmark

Land Mark

Retinex Min [ ]

Canny Min [ ]

Bilateral Min [ ]

HOG Min [ ]

PCA+ Min [ ]

1 0.283 0.113 0.149 0.516 0.427

2 0.296 0.085 0.363 0.457 0.424

3 0.128 0.046 0.341 0.400 0.618

4 0.131 0.060 -0.134 0.530 0.313

5 0.085 0.065 -0.122 0.434 0.608

6 0.496 0.189 0.624 0.580 0.708

7 0.239 0.192 0.636 0.501 0.726

8 0.182 0.160 0.552 0.358 0.707

9 0.360 0.122 0.371 0.581 0.598

10 0.249 0.149 0.581 0.496 0.724

11 0.373 0.148 0.070 0.573 0.651

12 0.030 0.067 0.156 0.386 0.570

13 0.233 0.070 0.495 0.431 0.425

14 0.099 0.028 0.187 0.538 0.379

15 0.159 0.069 0.434 0.379 0.563

16 0.168 -0.036 0.420 0.615 0.528

17 -0.026 0.000 0.003 0.306 0.065

18 0.166 0.000 0.417 0.438 0.106

19 0.469 0.028 0.120 0.468 0.400

20 0.229 -0.009 0.099 0.294 0.447

21 0.210 0.116 0.089 0.472 0.229

22 0.118 -0.007 0.342 0.409 0.229

23 0.319 0.039 0.158 0.350 0.173

24 0.210 -0.011 -0.012 0.235 0.443

25 -0.190 -0.210 -0.140 0.009 -0.015

26 0.045 -0.079 0.145 0.103 -0.098

27 0.085 -0.294 0.017 0.207 0.173

28 -0.269 -0.018 -0.146 -0.071 0.035

29 0.224 0.196 -0.188 0.251 0.144

30 0.149 0.000 -0.185 0.150 0.015

31 0.381 0.133 0.275 0.327 0.434

32 0.112 0.055 0.034 0.458 0.489

33 0.350 0.000 0.253 0.244 0.371

34 0.172 0.108 0.060 0.234 0.346

35 0.224 0.000 0.187 0.476 0.337

Avg: 0.185 0.045 0.190 0.375 0.380

8

Results: study case 11-08-2010

2010-08-11-0410.jpg : 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 => min:120m, max: 120m2010-08-11-0420.jpg : 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 => 0m2010-08-11-0430.jpg : 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 => min:90m, max: 90m2010-08-11-0440.jpg : 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 => 0m 2010-08-11-0450.jpg : 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 => 0m

2010-08-11-0500.jpg : 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 => 0m 2010-08-11-0510.jpg : 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 => min:120m, max: 120m2010-08-11-0520.jpg : 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 => min:120m, max: 120m2010-08-11-0530.jpg : 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 => min:120m, max: 120m2010-08-11-0540.jpg : 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 => min:120m, max: 120m

2010-08-11-0550.jpg : 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 => min:120m, max: 120m2010-08-11-0600.jpg : 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 => min:120m, max: 120m2010-08-11-0610.jpg : 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 => min:240m, max: 240m2010-08-11-0620.jpg : 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 => min:120m, max: 120m2010-08-11-0630.jpg : 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 => min:120m, max: 120m


2010-08-11-0730.jpg : 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 => min:1250m, max: 4400m2010-08-11-0740.jpg : 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 1 0 0 0 => min:7900m, max: 14600m2010-08-11-0750.jpg : 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 0 0 0 => min:7900m, max: 14600m2010-08-11-0800.jpg : 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 0 0 => min:9900m, max: 14600m




2010-08-11-1040.jpg : 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 => min:24000m, max: 24000m2010-08-11-1050.jpg : 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 => min:24000m, max: 24000m2010-08-11-1100.jpg : 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 => min:24000m, max: 24000m

04:20:00: 400 meters

04:50:00: 300 meters

05:20:00: 300 meters

05:50:00: 350 meters

06:20:00: 300 meters

06:50:00: 500 meters

07:20:00: 5000 meters

07:50:00: greater than 10000 meters







METAR:Computed:

9

Consortium

JOANNEUM RESEARCH Forschungsgesellschaft mbH

AIT Austrian Institute of Technology GmbH

Austro Control, Österreichische Gesellschaft für Zivilluftfahrt mit beschränkter Haftung

MeteoServe Wetterdienst GmbH

10

JOANNEUM RESEACH

• Expertise– Digital image processing– Fusion of information from different sensors – Experience with industry projects over many years– Machine vision algorithms for real-time and real-world

scenarios

• Department objectives– DIGITAL – Machine Vision Applications– Research focus towards mobilty– Industrial application– End-user driven

11

AIT Austrian Institute of Technology

• Expertise– Research area Safety and Security– Research and development of intelligent IT-based systems– Imaging: test systems, monitoring

• Department objectives– AIT - Safety and Security– Digital image processing– Research area ‘Safety’– Safety of systems (air traffic safety)– Realisation of results in collaboration with industry partners

12

Thank‘s for your attention!

dibmetsat-3d from 2d to 3d machine vision based met ... · pdf file20 0.229 -0.009 0.099 0.294...

Documents