MCQ_Lecture 4_Remote Sensing Image Enhancement

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What is the primary reason for applying contrast stretching after directional first differencing?

To reduce the noise in the image
To reduce the number of pixels in the image
To enhance the edges in the image
To rescale the result to the byte range (correct)

What is the main advantage of using the Laplacian convolution kernel for edge enhancement?

It is a first derivative
It is invariant to rotation (correct)
It is sensitive to the direction of edges
It is used for density slicing

What is the purpose of density slicing in image processing?

To enhance the edges in the image
To perform image subtraction
To divide the image into different regions
To display a range of DNs at a single DN in the output image (correct)

What is the result of applying a directional first differencing filter in a particular direction?

An image with enhanced edges in a specific direction (D) Signup and view all the answers

What is the difference between the gradient and the Laplacian in image processing?

The gradient is a first derivative, while the Laplacian is a second derivative (C) Signup and view all the answers

What is the outcome when six different slices are established in density slicing?

The output image contains only six different gray levels (D) Signup and view all the answers

What is the primary purpose of using spectral indices in image enhancement?

To enhance a particular single feature on the image (C) Signup and view all the answers

What is the benefit of using band ratioing in image arithmetic?

To enhance the image by bringing out Earth's surface cover types (D) Signup and view all the answers

Why can band ratioing highlight subtle spectral changes?

Because it emphasizes the differences between two bands (C) Signup and view all the answers

What is the result of using normalized difference indices in image arithmetic?

A new image that highlights a particular feature (B) Signup and view all the answers

What is the primary purpose of performing contrast enhancement in image processing?

To improve the visibility of details in an image (A) Signup and view all the answers

What is the result of applying a Gaussian stretch to an image?

A non-linear transformation of the pixel values (A) Signup and view all the answers

What is the primary difference between histogram equalization and histogram matching?

The purpose of the transformation, with equalization aiming to improve contrast and matching aiming to match a target histogram (A) Signup and view all the answers

What is the effect of applying a spatial filter to an image with high spatial frequency?

The filter will emphasize the tonal variations in the image (C) Signup and view all the answers

What is the purpose of density slicing in image processing?

To segment an image into different regions based on pixel values (B) Signup and view all the answers

What is the primary goal of histogram matching?

To specify the shape of the histogram of the output image (D) Signup and view all the answers

What happens when there is a large concentration of pixels in the input histogram having levels very near 0?

The output image will have a histogram with a very narrow interval of dark pixels mapped to the upper end of the grey scale (A) Signup and view all the answers

What is the purpose of performing histogram equalization on the input image in histogram matching?

To compute the transformation function G (C) Signup and view all the answers

What is the difference between histogram equalization and histogram matching?

Histogram equalization maps the input histogram to a uniform histogram, while histogram matching maps the input histogram to a specified histogram (C) Signup and view all the answers

What is the purpose of the transformation function G in histogram matching?

To compute the transformation from the input histogram to the specified histogram (B) Signup and view all the answers

MCQ_Lecture 4_Remote Sensing Image Enhancement

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Questions and Answers

What is the primary reason for applying contrast stretching after directional first differencing?

What is the main advantage of using the Laplacian convolution kernel for edge enhancement?

What is the purpose of density slicing in image processing?

What is the result of applying a directional first differencing filter in a particular direction?

What is the difference between the gradient and the Laplacian in image processing?

What is the outcome when six different slices are established in density slicing?

What is the primary purpose of using spectral indices in image enhancement?

What is the benefit of using band ratioing in image arithmetic?

Why can band ratioing highlight subtle spectral changes?

What is the result of using normalized difference indices in image arithmetic?

What is the primary purpose of performing contrast enhancement in image processing?

What is the result of applying a Gaussian stretch to an image?

What is the primary difference between histogram equalization and histogram matching?

What is the effect of applying a spatial filter to an image with high spatial frequency?

What is the purpose of density slicing in image processing?

What is the primary goal of histogram matching?

What happens when there is a large concentration of pixels in the input histogram having levels very near 0?

What is the purpose of performing histogram equalization on the input image in histogram matching?

What is the difference between histogram equalization and histogram matching?

What is the purpose of the transformation function G in histogram matching?

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