Master of Science I (Geoinformatics)Examination: Oct/Nov 2016
Semester II (New CBCS)
SLR No. Day
Date Time Subject Name Paper
No. Seat No.
SLR SG
512
Thursday
24/11/2016
10.30 AM
to
01.00 PM
Digital Image Processing
C
IV
Instructions: Answer any five questions.
All questions carry equal marks.
Q.1 is compulsory.
Attempt any two from Q.2, 3 4
Attempt any two from Q.5, 6 7
Draw neat and labeled diagrams wherever necessary.
Total Marks:70
Q.1 Select the answer among the following: 14
The main objectives of operation is to replaced visual analysis of
the image data with quantitative techniques for automating the identification
of feature in a scene.
Image classification Image rectification
Image enhancement Image processing
Enhancement techniques are
Contrast stretch Density slicing
Edge enhancement All of the above
Training stage, classification stage, output stage are the stages of
Image rectification Unsupervised classification
Supervised classification Image enhancement
Replacement by either the preceding or succeeding line is the method of
Geometric correction Radiometric correction
Noise removal Classification
correspond to non diagonal column elements.
Commission Omission
Kappa All of the above
techniques expand the range of brightness values in an
image.
Contrast Histogram equalization
Density Slicing None of these
are caused by detector imbalance and atmospheric deficiencies.
Radiometric Geometric
FCC None of these
The transformation of a remotely sensed image so that it has a scale and
projections of a map is called
Geometric Corrections Radiometric Corrections
Atmospheric Corrections Noise Corrections
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Distortions whose effects are systematic in nature and are constant and can be
predicted in advance are called
Non-systematic distortion Radiometric Correction
Systematic distortion Noise Correction
10) maintains all data for a single band covering entire scene as
one file.
BIL BSQ
BIP Geo-TIFF
11) do not utilize training data as the basis for classification.
Unsupervised Supervised
Error Matrix None of these
12) Nearest neighbor, bilinear interpolation techniques, cubic convolution are the
methods of
Georeferencing Reprojecting
Resampling None of the above
13) known as confusion or contingency table.
Classification error matrix Error matrix
Kappa-co-efficient None of the above
14) techniques expand the range of brightness values
in an image.
Contrast Histogram equalization
Density Slicing None of these
Q.2 What is image classification? Explain the some classification algorithms. 14
Q.3 What is digital image? Discuss digital image data formats and image processing
systems.
14
Q.4 Explain the various image enhancement techniques. 14
Q.5 Write a short note on the following: 14
Advantage and disadvantage of unsupervised classification
Contingency table
Q.6 Write in brief on: 14
Noise Removal
Radiometric Correction
Q.7 Write small account on: 14
Histogram equalization
Density Slicing