Full text: Proceedings, XXth congress (Part 2)

  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B2. Istanbul 2004 
  
Pixel Translational Motion 
@ 29.97 frames/s 
  
  
8.000 .- 
7800 —— 25 km/h 
E 600 | — 50 km/h 
Enon 75 km/h 
g 400 100 km/h 
$ 3.000 | 
& 2900 | — 125 km/h 
1.000 — 150 km/h 
000) |l——— REL  — 175 km/h 
0 100 200 300 400 500 — 200 km/h 
Altitude, m 
Figure 5: Pixel Motion Estimate Due to Speed and Flying 
  
  
  
  
  
  
  
  
Height 
Feature X Pixel 
150 160 170 180 190 200 
0 
50 4 
3 
& 100 
- 
2 
B 150 
ih 
200 
  
  
  
  
  
  
  
Figure 6: Example Hot Spot Feature Track 
2.3 Real-time georeferencing 
Real-time georeferencing is accomplished by using the 
WADGPS/INS information to georeference the LWIR images. 
The physical relationship between the GPS antenna, the INS, 
the camera and the ground target is shown in Figure 7. 
    
MAPPING FRAME 
Figure 7: General Geo-Referencing Diagram 
= Mee = ; 
In Figure 7, Fp indicates the position vector of the hot spot 
with respect to the mapping coordinate system. This position 
vector can be obtained mathematically as below. 
M. .M 3 M bí. b P..c 
rp =TFgps (t)- R, (t)R? TN — Hr, ) (1) 
Where: 
n Is the X, Y, Z position vector of the feature point in 
mapping frame 
r^. (t) Is the real time GPS position vector in mapping 
frame 
R) (t) Is the attitude matrix between the body frame and 
mapping frame 
R^ Is the rotation matrix between the camera frame 
and body frame 
E" jc Is the GPS to Camera lever arm vector 
Hy Is the Image point scale factor 
ri Is the image point 
t Is the time of exposure 
For each image, rM 
M (t) and RY(t) are obtained from the 
c 
P 
determined from the: feature track extraction process in as 
explained in Section 2.2. R^ and rj, are fixed values that 
are obtained through calibration. r" and u^ are obtained 
p 
direct georeferencing system and any r? for hot spots are 
through performing a 3D space intersection. 
3. RESULTS 
To test the overall accuracy of the F?D system, an airborne test 
flight took place over controlled fire pits in Calgary in July 30, 
2002. The controlled and monitored fires were set in fire pits at 
the Bowness Park picnic area. The F?D system was mounted in 
a remote sensing aircraft (aircraft and flight services provided 
by Geodesy Remote Sensing, Calgary). Two multi pass test 
flights at varying aircraft altitude took place over the test filed 
to allow for collection of data under both day and night 
conditions. Figure 8 shows a sample of the fires that were used 
as targets, and the corresponding forest coverage of that target. 
Any where that the blue sky is observed in the right hand image 
is where the thermal imager could potentially see the fire. 
  
Figure 7: Sample Target Hot Spot and Forest Canopy Coverage 
Table 2 lists the positional accuracy of the aircraft derived 
position from the WAAS and the OmniStar real-time systems 
during the two test flights. The reference trajectory for these 
results is the post processed double Differenced GPS (DGPS) 
solution (accurate to 10 cm). The DGPS solution was derived 
Intern 
from th 
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e 
  
Degrees Difference 
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Figure 
Utilizing 
Section 
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fire pits 
processe 
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Pass 1 
  
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Pass 4 
  
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