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Satellite Image Enhancement — MCQs | Digital Image Processing

1. Which type of enhancement improves contrast by stretching the histogram?

(A) Histogram equalization


(B) Low-pass filtering


(C) Edge detection


(D) Band ratioing



2. Which method is commonly used for reducing haze in satellite images?

(A) Atmospheric correction


(B) Histogram matching


(C) Principal component analysis


(D) Edge sharpening



3. Which spatial filter enhances high-frequency details in an image?

(A) Low-pass filter


(B) Median filter


(C) High-pass filter


(D) Averaging filter



4. Which enhancement technique is effective in highlighting urban features in satellite images?

(A) Band ratioing


(B) NDVI


(C) PCA


(D) Edge enhancement



5. Which method transforms a satellite image to emphasize vegetation?

(A) NDVI


(B) Tasseled Cap


(C) FCC


(D) Band subtraction



6. What is the main purpose of radiometric correction in satellite images?

(A) Geometric alignment


(B) Cloud masking


(C) Adjusting pixel intensity values


(D) Detecting edges



7. Which technique enhances image details by subtracting a low-pass filtered image from the original?

(A) Histogram equalization


(B) Unsharp masking


(C) Band ratioing


(D) PCA



8. What does NDVI stand for?

(A) Normalized Difference Vegetation Index


(B) Normalized Digital Vegetation Image


(C) National Data Visual Index


(D) Non-Destructive Visual Imaging



9. Which of the following is used to reduce striping noise in satellite images?

(A) Destriping filter


(B) Histogram matching


(C) Spectral sharpening


(D) Band stretching



10. Which method uses the statistical distribution of pixel values for image enhancement?

(A) Edge detection


(B) Histogram equalization


(C) Fourier transform


(D) PCA



11. Which image enhancement technique is best for improving visibility in low-contrast satellite images?

(A) Band subtraction


(B) Contrast stretching


(C) Band fusion


(D) Ratio transformation



12. Which of the following is a spectral enhancement method?

(A) Band ratioing


(B) Histogram equalization


(C) Laplacian filtering


(D) Median filtering



13. What does PCA stand for in satellite image enhancement?

(A) Pixel Correction Algorithm


(B) Principal Component Analysis


(C) Projection Contrast Adjustment


(D) Phase Coefficient Adjustment



14. Which enhancement technique helps distinguish different land cover types by combining RGB bands?

(A) False color composite


(B) Band ratioing


(C) PCA


(D) NDVI



15. Which color combination is commonly used in false color composites for vegetation?

(A) R: NIR, G: Red, B: Green


(B) R: Blue, G: Red, B: NIR


(C) R: Green, G: Red, B: Blue


(D) R: Red, G: Blue, B: NIR



16. Which process corrects geometric distortions in satellite images?

(A) Radiometric calibration


(B) Georeferencing


(C) NDVI


(D) Band fusion



17. Which frequency domain technique is used to enhance edges?

(A) Fourier transform


(B) Inverse FFT


(C) Low-pass filtering


(D) High-frequency boosting



18. What does atmospheric correction primarily address?

(A) Sensor misalignment


(B) Illumination variations


(C) Atmospheric scattering and absorption


(D) Terrain distortion



19. Which of the following methods improves image clarity by enhancing sharp transitions?

(A) Low-pass filtering


(B) Edge enhancement


(C) Band fusion


(D) NDVI



20. Which tool can be used for visual enhancement in QGIS or ArcGIS?

(A) Color balancing


(B) PCA


(C) Band ratio


(D) Masking



21. Which enhancement method helps to identify water bodies more effectively?

(A) NDBI


(B) NDWI


(C) NDVI


(D) PCA



22. In image enhancement, what does linear contrast stretching involve?

(A) Equalizing histogram bins


(B) Mapping input values to full output range


(C) Subtracting means of bands


(D) Filtering low-frequency noise



23. Which of the following helps to enhance textural features in satellite images?

(A) GLCM


(B) Histogram matching


(C) Band fusion


(D) Ratio transformation



24. Which type of enhancement increases interpretability for human viewers?

(A) Visual enhancement


(B) Radiometric calibration


(C) Spectral unmixing


(D) Classification



25. Which method helps to separate overlapping spectral features?

(A) Band subtraction


(B) Principal component analysis


(C) Histogram equalization


(D) Unsharp masking



26. Which of these is an effect of poor contrast in satellite images?

(A) High frequency of edges


(B) Difficulty in distinguishing features


(C) Over-saturation


(D) Blurred motion



27. Which band combination is ideal for detecting vegetation in Landsat images?

(A) Bands 4-3-2


(B) Bands 5-4-3


(C) Bands 3-2-1


(D) Bands 7-5-3



28. Which technique enhances image contrast without affecting the relative radiance values?

(A) Histogram equalization


(B) Linear stretching


(C) Piecewise contrast enhancement


(D) Logarithmic enhancement



29. Which transformation uses mathematical functions to modify pixel values?

(A) Logarithmic enhancement


(B) NDVI


(C) Ratioing


(D) PCA



30. Which process enhances images for better automated classification accuracy?

(A) Spectral sharpening


(B) Radiometric calibration


(C) PCA


(D) NDVI



31. What does FCC stand for in remote sensing?

(A) Full Color Composition


(B) False Color Composite


(C) Frequency Channel Compression


(D) Filtered Color Coding



32. Which type of enhancement is based on human perception?

(A) Radiometric correction


(B) Contrast stretching


(C) Visual enhancement


(D) Geometric correction



33. Which function is used in MATLAB or Python to apply histogram equalization?

(A) histmatch


(B) histeq


(C) graystretch


(D) imenhance



34. Which filter emphasizes edges and suppresses uniform areas?

(A) Laplacian filter


(B) Median filter


(C) Gaussian filter


(D) Low-pass filter



35. What is the purpose of using high-boost filtering?

(A) Remove noise


(B) Blur image


(C) Enhance details by amplifying high-frequency components


(D) Convert image to grayscale



36. Which enhancement approach can lead to over-enhancement artifacts?

(A) Unsharp masking


(B) PCA


(C) NDVI


(D) Logarithmic enhancement



37. Which technique provides better contrast in areas with minimal brightness variation?

(A) Histogram equalization


(B) Adaptive histogram equalization


(C) Band subtraction


(D) Geometric correction



38. Which is a disadvantage of histogram equalization?

(A) Increases noise


(B) Reduces sharpness


(C) Inconsistent brightness


(D) Nonlinear transformation



39. Which index helps in differentiating between built-up areas and vegetation?

(A) NDWI


(B) NDBI


(C) NDVI


(D) SAVI



40. Which type of enhancement is used to highlight man-made features in a scene?

(A) NDBI


(B) NDVI


(C) FCC


(D) Unsharp masking



41. Which of the following is not a radiometric enhancement?

(A) Contrast stretching


(B) Histogram equalization


(C) Band ratioing


(D) Noise removal



42. Which transformation increases the visibility of subtle image patterns?

(A) Logarithmic


(B) Linear


(C) Constant


(D) Square root



43. Which is a key application of satellite image enhancement?

(A) Data compression


(B) Feature extraction


(C) Bit plane slicing


(D) Keypoint matching



44. Which technique enhances image based on local statistics of pixel neighborhoods?

(A) Adaptive histogram equalization


(B) Global histogram stretching


(C) Band ratioing


(D) PCA



45. Which of the following is a geometric correction process?

(A) Cloud masking


(B) Orthorectification


(C) NDVI calculation


(D) Histogram adjustment



46. Which filter type preserves edges while reducing noise?

(A) Median filter


(B) Average filter


(C) High-pass filter


(D) Laplacian filter



47. Which frequency components are enhanced to sharpen an image?

(A) Low-frequency


(B) Mid-frequency


(C) High-frequency


(D) All-frequency



48. What is the role of band fusion in enhancement?

(A) Reduce noise


(B) Improve resolution and information content


(C) Compress images


(D) Match histograms



49. Which technique is best for enhancing shadowed regions?

(A) Logarithmic transformation


(B) NDVI


(C) PCA


(D) Band fusion



50. Which enhancement technique is commonly used to improve the visibility of features in satellite images taken under varying illumination conditions?

(A) Adaptive histogram equalization


(B) Band subtraction


(C) NDVI


(D) Destriping



More MCQs on Digital image Processing

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  2. Human Visual System (HVS) — MCQs | Digital Image Processing

  3. Image Acquisition Devices — MCQs | Digital Image Processing

  4. Image Sampling & Quantization — MCQs | Digital Image Processing

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  10. Bit-plane Slicing — MCQs | Digital Image Processing

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  15. Fourier Transform (DFT, FFT) — MCQs | Digital Image Processing

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  17. Low-pass & High-pass Filters — MCQs | Digital Image Processing

  18. Homomorphic Filtering — MCQs | Digital Image Processing

  19. Noise Models (Gaussian, Salt & Pepper, Speckle) — MCQs | Digital Image Processing

  20. Adaptive Filtering — MCQs | Digital Image Processing

  21. Inverse & Wiener Filtering — MCQs | Digital Image Processing

  22. Pseudo-color & True-color Processing — MCQs | Digital Image Processing

  23. Color Space Conversion (RGB ↔ HSV, HSI, YCbCr) — MCQs | Digital Image Processing

  24. Color Image Enhancement — MCQs | Digital Image Processing

  25. Image Segmentation (Thresholding, Otsu, K-means, Region Growing) — MCQs | Digital Image Processing

  26. Edge-based Segmentation — MCQs | Digital Image Processing

  27. Region Splitting and Merging — MCQs | Digital Image Processing

  28. Watershed Algorithm — MCQs | Digital Image Processing

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  30. Boundary Extraction — MCQs | Digital Image Processing

  31. Skeletonization — MCQs | Digital Image Processing

  32. Connected Components Labeling — MCQs | Digital Image Processing

  33. Texture Analysis (GLCM, LBP, Gabor Filters) — MCQs | Digital Image Processing

  34. Shape Descriptors (Perimeter, Area, Compactness, Eccentricity) — MCQs | Digital Image Processing

  35. Statistical Features (Mean, Variance, Skewness) — MCQs | Digital Image Processing

  36. Principal Component Analysis (PCA) — MCQs | Digital Image Processing

  37. Linear Discriminant Analysis (LDA) — MCQs | Digital Image Processing

  38. Feature Matching (SIFT, SURF, ORB) — MCQs | Digital Image Processing

  39. Image Registration — MCQs | Digital Image Processing

  40. Image Stitching — MCQs | Digital Image Processing

  41. Motion Detection & Optical Flow — MCQs | Digital Image Processing

  42. Background Subtraction — MCQs | Digital Image Processing

  43. Object Detection & Tracking — MCQs | Digital Image Processing

  44. Template Matching — MCQs | Digital Image Processing

  45. Pattern Recognition (KNN, SVM, ANN) — MCQs | Digital Image Processing

  46. Image Classification — MCQs | Digital Image Processing

  47. Image Clustering — MCQs | Digital Image Processing

  48. Image Compression (RLE, Huffman, LZW, JPEG, JPEG2000) — MCQs | Digital Image Processing

  49. Video Compression (MPEG, H.264) — MCQs | Digital Image Processing

  50. Image Fusion (Pixel, Feature, Decision Level) — MCQs | Digital Image Processing

  51. Image Watermarking — MCQs | Digital Image Processing

  52. Steganography — MCQs | Digital Image Processing

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  54. Gesture Recognition — MCQs | Digital Image Processing

  55. 3D Image Processing — MCQs | Digital Image Processing

  56. Stereo Vision & Depth Estimation — MCQs | Digital Image Processing

  57. Medical Image Analysis (CT, MRI, Ultrasound) — MCQs | Digital Image Processing

  58. Remote Sensing Image Processing — MCQs | Digital Image Processing

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  60. Deep Learning for Image Processing (CNN, GANs, Autoencoders) — MCQs | Digital Image Processing

  61. Image Captioning — MCQs | Digital Image Processing

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  63. Super Resolution (SRCNN, ESRGAN) — MCQs | Digital Image Processing

  64. Image Inpainting — MCQs | Digital Image Processing

  65. Image Style Transfer — MCQs | Digital Image Processing

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