Exam Details
Subject | remote sensing and digital image processing | |
Paper | ||
Exam / Course | m.sc. applied geology | |
Department | ||
Organization | alagappa university | |
Position | ||
Exam Date | November, 2017 | |
City, State | tamil nadu, karaikudi |
Question Paper
M.Sc. DEGREE EXAMINATION, NOVEMBER 2017
First Semester
Applied Geology
REMOTE SENSING AND DIGITAL IMAGE
PROCESSING
(CBCS 2016 onwards)
Time 3 Hours Maximum 75 Marks
Part A (10 x 2 20)
Answer all questions.
Each question carries equal marks.
1. Write notes on the concept of Remote Sensing.
2. Define Spectral Signature.
3. Define the term "Sensor" in remote sensing.
4. Write short notes on IKONOS satellites.
5. Write notes on remote sensing instrumentations.
6. Mention the various types of aerial photographs.
7. Briefly explain multispectral scanning.
8. Define images.
9. Write notes on NDVI.
10. Give a brief note on sub-pixel classification of images.
Sub. Code
464104
RW-913
2
sp3
Part B x 5 25)
Answer ALL the questions choosing either or
11. Give an account on the Planck's blackbody law.
Or
Describe the Atmospheric windows. Discuss the
advantages and disadvantages.
12. Write notes on different types of Platforms and
Sensors.
Or
Describe the high resolution satellite images with a
note on Quick bird and Orb View.
13. Give a detailed discussion on Indian Remote
Sensing Satellites Current and Future missions.
Or
How different types of land forms are identified
using remote sensing data? Discuss.
14. Give an account on the Raster and Vector data
structures and the method of their conversion.
Or
Enumerate the different types of image formats.
15. Enumerate the Multimode data fusion.
Or
Distinguish between Differencing and Rationing.
RW-913
3
sp3
Part C x 10 30)
Answer any three questions in about 500 words each.
Each question carries equal marks.
16. Give a detailed account on the Electromagnetic Spectrum
with a neat sketch.
17. Write an essay on the different types of sensors in
LANDSAT, SPOT and IRS.
18. Define Thermal and Microwave Remote Sensing. Explain
their concepts, issues and applications.
19. Describe the Geometric errors and Radiometric errors of
Image processing.
20. Describe the Supervised and Unsupervised classification
of images.
————————
First Semester
Applied Geology
REMOTE SENSING AND DIGITAL IMAGE
PROCESSING
(CBCS 2016 onwards)
Time 3 Hours Maximum 75 Marks
Part A (10 x 2 20)
Answer all questions.
Each question carries equal marks.
1. Write notes on the concept of Remote Sensing.
2. Define Spectral Signature.
3. Define the term "Sensor" in remote sensing.
4. Write short notes on IKONOS satellites.
5. Write notes on remote sensing instrumentations.
6. Mention the various types of aerial photographs.
7. Briefly explain multispectral scanning.
8. Define images.
9. Write notes on NDVI.
10. Give a brief note on sub-pixel classification of images.
Sub. Code
464104
RW-913
2
sp3
Part B x 5 25)
Answer ALL the questions choosing either or
11. Give an account on the Planck's blackbody law.
Or
Describe the Atmospheric windows. Discuss the
advantages and disadvantages.
12. Write notes on different types of Platforms and
Sensors.
Or
Describe the high resolution satellite images with a
note on Quick bird and Orb View.
13. Give a detailed discussion on Indian Remote
Sensing Satellites Current and Future missions.
Or
How different types of land forms are identified
using remote sensing data? Discuss.
14. Give an account on the Raster and Vector data
structures and the method of their conversion.
Or
Enumerate the different types of image formats.
15. Enumerate the Multimode data fusion.
Or
Distinguish between Differencing and Rationing.
RW-913
3
sp3
Part C x 10 30)
Answer any three questions in about 500 words each.
Each question carries equal marks.
16. Give a detailed account on the Electromagnetic Spectrum
with a neat sketch.
17. Write an essay on the different types of sensors in
LANDSAT, SPOT and IRS.
18. Define Thermal and Microwave Remote Sensing. Explain
their concepts, issues and applications.
19. Describe the Geometric errors and Radiometric errors of
Image processing.
20. Describe the Supervised and Unsupervised classification
of images.
————————
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- hydrogeology
- igneous and metamorphic petrology
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