Figure 1. “Ground truth”, well data, and remotely-sensed data...
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Figure 1. “Ground truth”, well data, and remotely-sensed data 0000000000 0000000000 0000400000 0003450000 0005540000 0004330000 0000200000 0000000000 0000000000 0000000000 0000000000 0102000000 0003424000 0045004000 0230005040 0045004000 0044443200 0003242000 0400040000 0000000000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 0 1 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
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Transcript of Figure 1. “Ground truth”, well data, and remotely-sensed data...
Figure 1. “Ground truth”, well data, and remotely-sensed data
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 4 0 0 0 0 0
0 0 0 3 4 5 0 0 0 0
0 0 0 5 5 4 0 0 0 0
0 0 0 4 3 3 0 0 0 0
0 0 0 0 2 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
0 0 0 0 0 0 0 0 0 0
0 1 0 2 0 0 0 0 0 0
0 0 0 3 4 2 4 0 0 0
0 0 4 5 0 0 4 0 0 0
0 2 3 0 0 0 5 0 4 0
0 0 4 5 0 0 4 0 0 0
0 0 4 4 4 4 3 2 0 0
0 0 0 3 2 4 2 0 0 0
0 4 0 0 0 4 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 0 0 1 1 1 1 0 0 0
0 0 1 1 1 1 1 0 0 0
0 0 1 1 1 1 1 0 0 0
0 0 1 1 1 1 1 0 0 0
0 0 1 1 1 1 1 0 0 0
0 0 0 1 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 60 200 255
Slope = Contrast of original image
Both brighter image and enhanced
contrast
Dimmer(more contrast)Brighter
(less contrast)
255
Figure 2. Several options in histogram equalization
100 95 90 85 80 75 70
100 95 90 85 80 75 70
100 95 90 85 80 75 70
100 95 90 85 80 75 70
100 95 90 85 80 75 70
100 95 90 85 80 75 70
100 95 90 85 80 75 70
100 95 90 85 80 75 70
100 95 90 85 80 75 70
100 95 90 85 80 75 70
100 95 90 85 80 75 70
100 95 90 85 80 75 70
100 95 90 85 80 75 70
100 95 90 85 80 75 70
100 95 90 85 80 75 70
100 95 90 85 80 75 70
100 95 90 85 80 75 70
1250.0
1000.0
800.0
630.0
500.0
400.0
315.0
250.0
200.0
150.0
125.0
100.0
80.0
63.0
50.0
40.0
31.5
Cen
ter
Fre
quen
cy -
Hz
Grey scale Levels - dB
Figure 3. Grey scale definition (Banaszak et al. 1997)
t = 2.8 sec
Figure 4. Sound levels in decibels (Banaszak et al. 1997)
t = 0.5 sec
@
– Aesthetics– Property Values– Traffic Impacts– Land Use– Accessibility
– Noise and Odor– Ecology– Health Risks
– Air– Ground Water
– Tip Fees – Tax Revenues– Out-of-District Revenues– Jobs
GOAL
SOCIAL ECONOMICSENVIRONMENT
Figure 5. Hierarchy of a Municipal Solid Waste Problem
Figure 6. Service Network (Patterson 1995)
Rate: 0.10
Rate: 0.25 Rate: 0.35
Rate: 0.10
Rate: 0.20
78
16102
10050
32
24
Rate: MaintenanceCall Arrival Rate
3
2
5
4
1
Figure 7. Multi-commodity Flow (Patterson 1995)
3
2
5
4
1
Figure 8. Travelling Salesman Problem
5
63
1
2 4
1
3
2
2
55
3 3
4
7
Legend
__x__ (travel time)
2´
3´
1
2
3
4
2
2.5
3.5
41
2
4.5
4
6
1.5
2 5.5
1
1
Legend
x (travel time in State 1)
x (travel time in State 2)
(demand in State 1)
(demand in State 2)
Figure 9. Stochastic Facility-Location and Routing
5
1
2
4C34 = 10+x34
x2
C24 = 10x24
x1
C32 = 50+x32
C14 = 50+x14
C13 = 10x13
x3
Figure 10. Illustrating Braess’ Paradox.
Legend
x Flow
C Time
80 –
70 –
60 –
50 –
40 –
30 –
20 –
10 –
0 –
-10 –
-20 –
-30 –
PIC
KU
P
|
0|
50|
100|
150|
200|
250|
300|
350|
400DAY
HOTEL ONE80 –
70 –
60 –
50 –
40 –
30 –
20 –
10 –
0 –
-10 –
-20 –
-30 –
PIC
KU
P
|
0|
50|
100|
150|
200|
250|
300|
350|
400DAY
HOTEL FIVE
80 –
70 –
60 –
50 –
40 –
30 –
20 –
10 –
0 –
-10 –
-20 –
-30 –
PIC
KU
P
|
0|
50|
100|
150|
200|
250|
300|
350|
400DAY
HOTEL TWO80 –
70 –
60 –
50 –
40 –
30 –
20 –
10 –
0 –
-10 –
-20 –
-30 –
PIC
KU
P
|
0|
50|
100|
150|
200|
250|
300|
350|
400DAY
HOTEL SIX
80 –
70 –
60 –
50 –
40 –
30 –
20 –
10 –
0 –
-10 –
-20 –
-30 –
PIC
KU
P
|
0|
50|
100|
150|
200|
250|
300|
350|
400DAY
HOTEL THREE80 –
70 –
60 –
50 –
40 –
30 –
20 –
10 –
0 –
-10 –
-20 –
-30 –
PIC
KU
P
|
0|
50|
100|
150|
200|
250|
300|
350|
400DAY
HOTEL SEVEN
80 –
70 –
60 –
50 –
40 –
30 –
20 –
10 –
0 –
-10 –
-20 –
-30 –
PIC
KU
P
|
0|
50|
100|
150|
200|
250|
300|
350|
400DAY
HOTEL FOUR80 –
70 –
60 –
50 –
40 –
30 –
20 –
10 –
0 –
-10 –
-20 –
-30 –
PIC
KU
P
|
0|
50|
100|
150|
200|
250|
300|
350|
400DAY
HOTEL EIGHT
Figure 11. Time sequence plots of pickup percentages (Pfeifer and Bodily 1990)
50–
40 –
30 –
20 –
10 –
0 –0 5 10 15 20 25 30 35 40
Time t in weeks
Arsenicg/l
10 10 10 10 10
2.9
10 10 10
17.1
11.8
11.6
10 10
15.5
12.110
13.9
2.7
37.3
10 10 10
18.4
29.9
49.2
10
32.4
10
25.6
10 10
38.1
25.4
15.1
17.3
33.85
10
16 18.316.2
50–
40 –
30 –
20 –
10 –
0 –0 5 10 15 20 25 30 35 40
Time t in weeks
Arsenicg/l
10 10 10
15.5
10
13.6
10 10 10
28
10 10 10 10
14.6
22.3
10
11.2
3.1
42.9
10
28.6
1012.6
17
35
10
18
10
16.65
10 10
19.85
21.25
37.15
22.44
14.8
10
15.7
10.810
80–
64 –
48 –
32 –
16 –
0 –0 5 10 15 20 25 30 35 40
Time t in weeks
Arsenicg/l
15
13.710
14.4
10 10.725
13.211.4
10 10 10 10 10 10 10 10 10 106.5
12.8
11.410 10 10
22.6
14.210
13.4
12.8
22.2
1010.5
24.5
40.3
20.1
12.34
19.7
10.325
26.5
11.7
12.4
Figure 12. Contamination time-series for wells 1,2 and 3 (Wright 1995)
