Answer the Following Questions:
Question I:
Define the following:
1- Spatial Resolution
………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………
2- Radiometric Resolution
………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………
3- Image Enhancement
………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………
Question II:
Compare between:
1- Landsat-7 and Spot-5
satellites?
2- Ikonos and Quickbird satellites?
Question III:
1- What are the advantages of principal components transformation?
2- Describe briefly:
Intensity, hue, and saturation transformations?
Question IV:
Explain the following errors which may be
found in the satellite images? How can you correct these errors?
1- Line dropouts
2- Random noise
3- Atmospheric scattering
Question V:
Write shortly about the following Image
processing techniques:
1- Principal-component images
2- Merging data sets
3- Unsupervised classification
__________________________________________________________________
With My
Best Wishes……Prof. Dr. Adel
Zein Elabedeen Bishta
Answer
Question I:
Define the following:
1-
Spatial Resolution
………… the capability of a sensor to
distinguish between small objects
………………………………………………………………………………………
2-
Radiometric Resolution
… the capability of a sensor to
distinguish small differences in energy intensity
………………………………………………………………………………………
3-
Image Enhancement
…… Alters the visual impact that
the image has on the interpreter in a fashion that improves the information
content.
………………………………………………………………………………………
Question II:
Compare between:
1-
Landsat-7 and Spot-5 satellites?
|
Landsat-7
|
Spot-5
|
|
Landsat - 7 (USA)
Launch - 1999
Swath- 185 x 185 km
Altitude - 705 km
Spectral Bands : 7
- B1 (Blue) 30 m
- B2 (green) 30 m
- B3 (red) 30 m
- B4 (near IR) 30 m
- B5 (SWIR) 30 m
- B7 (SWIR) 30 m
- B6 (thermal) 60 m
- (Panchromatic) 15 m
|
SPOT-5 (France)
Launch - 2002
Swath- 60 x 60 km
Altitude - 822 km
Spectral Bands : 6
- B1 (green) 10 m
- B2 (red) 10 m
- B3 (near IR) 10 m
- B4 (SWIR) 20 m
- (Panchromatic) 5 m
- (Panchromatic) 2.5 m
|
2-
Ikonos and Quickbird satellites?
|
Ikonos
|
Quickbird
|
|
B1
(Blue) 4 m
B2
(Green) 4 m
B3
(Red) 4 m
B4
(NIR) 4 m
One Panchromatic Band
= 1 m
Pan –Sharpened (PS)
= 1 m
|
B1
(Blue) 2.4 m
B2
(Green) 2. 4 m
B3
(Red) 2.4 m
B4
(NIR) 2.4 m
One Panchromatic Band
= 0.61 m
Pan –Sharpened
(PS)
= 60
or 70 cm
|
Question III:
1-
the advantages of principal
components transformation:
- Most of the
variance in a multispectral data set is
compressed into the first two PC images
- Noise is generally relegated to the
less-correlated PC
images
- Spectral
differences between materials may be more
apparent in PC images than in individual
bands
2-
Intensity, hue, and saturation
transformations:
The intensity (I)
axis represents brightness variations and ranges from black (0) to white
(255)
Hue (H) axis represents the
dominant wavelength of color.Hue values commence with (0) at the midpoint
of red tones and increase counterclockwise around the circumference of the
sphere to conclude with 255 adjacent to (0)
Saturation (S)
axis represents the purity of color and is represented by the radius
that ranges from 0 at the center of the color sphere to 255 at the circumference.
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