Basic Image Classification and Segmentation - Image Processing and Analysis - Geomatics Engineering Previous Year Questions

1

2024 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2024

Which of the following statements is/are CORRECT for satellite image interpretation?

A

SWIR band is sensitive to moisture in soil and vegetation

B

Blue band is not useful to discriminate between water and snow

C

NIR band is useful to discriminate between land and water

D

Green band is useful to discriminate between cloud and snow

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2

2024 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2024

Which of the following CANNOT be used as visual interpretation key(s) for satellite images?

A

Texture

B

Projection

C

Pattern

D

Association

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3

2024 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2024

In the context of satellite image classification, which of the following statements is/are CORRECT?

A

Both ANN and Fuzzy C-means clustering are parametric classifiers

B

Both ANN and Fuzzy C-means clustering are non-parametric classifiers

C

ANN can be both supervised and unsupervised classification method

D

Fuzzy C-means clustering is a supervised classification method

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4

2024 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2024

Which of the following statistical classification algorithms is/are represented by the figure given below?

A

Minimum distance to mean classification

B

Parallelepiped classification

C

Maximum likelihood classification

D

k-means clustering

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5

2025 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2025

Which one of the following image processing methods employs standard deviation?

A

Band ratio

B

Parallelepiped classification

C

Correction of skew distortion in raw satellite image

D

Nearest neighbor classification

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6

2025 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2025

In supervised digital image classification, the number of combinations to be evaluated to select three best bands out of five bands is ______ (Answer in integer).

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7

2025 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2025

Figure below shows the scatterplot of training pixels of water (w), sand (s), forest (f) and commercial (c) in bands 1 and 2. Pixel 'A' having digital number 4 and 6 in band 1 and band 2, respectively, is to be classified using k-nearest neighbor classifier having the value of k equal to 5. The assigned class for the pixel 'A' is ______.

A

forest

B

sand

C

water

D

commercial

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8

2025 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2025

The error matrix resulting from randomly selected test pixels for a classified image is given below. The Producer’s accuracy of class 1 is __________% (rounded off to 1 decimal place).

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9

2022 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2022

Choose the CORRECT statement(s) in case of visual image interpretation.

A

Tone/Color is a primary element while Size, Shape and Texture are secondary elements.

B

Size, Shape and Texture are primary elements while Tone/Color is a secondary element.

C

Texture refers to the frequency of tonal changes in an area of image.

D

Tone/Color is a primary element while Pattern and Association are secondary elements.

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10

2022 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2022

The correlation coefficient between two bands of remote sensing data that would yield good classification is

A

close to one

B

close to zero

C

close to ten

D

between one to ten

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11

2022 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2022

Choose the INCORRECT statement about image segmentation in digital image processing.

A

Segmentation divides an image into different regions.

B

Image segmentation does not help in image classification.

C

Segmentation helps to identify objects or boundaries.

D

Segmentation is a process of partitioning an image into multiple sets of similar pixels.

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12

2022 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2022

Select the CORRECT sequence for supervised classification of satellite image
(i) Classification
(ii) Training
(iii) Accuracy assessment
(iv) Radiometric/geometric correction

A

(i), (ii), (iii), (iv)

B

(iv), (ii), (i), (iii)

C

(iv), (iii), (ii), (i)

D

(i), (iv), (ii), (iii)

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13

2022 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2022

The overall image classification accuracy (in percentage) calculated from the following error matrix is ______ (in integer).

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14

2023 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2023

The purpose of thresholding in supervised classification is

A

to reject homogeneous classes

B

to correct the geometry of the image

C

to identify image speckle

D

to identify and reject pixels not belonging to pre-defined training classes

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15

2023 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2023

The minimum number of 2-dimensional ground control points (GCP’s) required for second order polynomial mapping for image georeferencing is:

A

4

B

5

C

6

D

7

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16

2023 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2023

The contingency table as given below is obtained after an image classification. The overall classification accuracy (O) is given as

A

O = 0.795

B

O = 0.850

C

O = 0.725

D

O = 0.754

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17

2023 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2023

Divergence analysis in classification is used:

A

to decorrelate a given set of bands used in classification

B

to logically smooth the classified image

C

to segregate mixed and homogeneous pixels

D

to evaluate statistical separability amongst class pairs

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18

2026 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2026

A typical conditional function has the form: \[ Output = CON (test, out if true, out if false) \] What will be the reclassified output if the following conditional reclassification function \[ Output = CON (Layer P < 3, Layer Q, Layer R) \] is applied on the three input raster layers P, Q, and R?

A

x	b	y
x	b	x
a	x	b

B

x	b	y
x	x	b
a	x	b

C

x	b	y
x	x	x
x	x	y

D

x	b	x
x	b	x
a	x	b

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19

2026 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2026

Which of the following statements in the context of image-to-image registration is/are CORRECT?

A

The images may belong to different dates

B

The images have significant overlapping geographic area

C

The images must have the same spatial resolution

D

The images must belong to the same dates

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20

2026 · Geomatics Engineering · Image Processing and Analysis · Basic Image Classification and Segmentation

Geomatics Engineering (GE) 2026

An image analyst classifies an image into three classes, namely, water, vegetation and urban, using a simple classification technique. Using the reference data (ground truth) and classified data, the analyst prepares an error matrix, as shown in the table, and calculates accuracy values (Rounded off to the nearest integer value). Which of the following options is/are CORRECT?

A

Overall accuracy is 67%

B

Producer’s and User’s accuracy values in case of water class are equal

C

In case of urban class, Producer’s accuracy is 20% and User’s accuracy is 13%

D

In case of vegetation class, Producer’s accuracy is 20% and User’s accuracy is 11%

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