Satellite Image Enhancement — MCQs | Digital Image Processing

50
Score: 0
Attempted: 0/50
Subscribe
1. Which type of enhancement improves contrast by stretching the histogram?



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



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



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



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



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



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



8. What does NDVI stand for?



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



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



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



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



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



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



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



16. Which process corrects geometric distortions in satellite images?



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



18. What does atmospheric correction primarily address?



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



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



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



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



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



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



25. Which method helps to separate overlapping spectral features?



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



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



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



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



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



31. What does FCC stand for in remote sensing?



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



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



34. Which filter emphasizes edges and suppresses uniform areas?



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



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



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



38. Which is a disadvantage of histogram equalization?



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



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



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



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



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



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



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



46. Which filter type preserves edges while reducing noise?



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



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



49. Which technique is best for enhancing shadowed regions?



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



More MCQs on Digital image Processing

  1. Introduction to DIP — MCQs | Digital Image Processing

  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

  5. Image Resolution & Bit Depth — MCQs | Digital Image Processing

  6. Basic Image Operations (Negative, Log, Power-law) — MCQs | Digital Image Processing

  7. Histogram Equalization & Specification — MCQs | Digital Image Processing

  8. Contrast Stretching — MCQs | Digital Image Processing

  9. Image Arithmetic (Add, Subtract, Multiply, Divide) — MCQs | Digital Image Processing

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

  11. Smoothing Filters (Mean, Gaussian, Median) — MCQs | Digital Image Processing

  12. Sharpening Filters (Laplacian, Gradient) — MCQs | Digital Image Processing

  13. High-Boost Filtering — MCQs | Digital Image Processing

  14. Edge Detection (Sobel, Prewitt, Roberts, Canny, LoG) — MCQs | Digital Image Processing

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

  16. Frequency Domain Filtering — MCQs | Digital Image Processing

  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

  29. Morphological Operations (Erosion, Dilation, Opening, Closing) — MCQs | Digital Image Processing

  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

  53. Face Detection & Recognition — MCQs | Digital Image Processing

  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

  59. Satellite Image Enhancement — MCQs | Digital Image Processing

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

  61. Image Captioning — MCQs | Digital Image Processing

  62. Semantic & Instance Segmentation (Mask R-CNN, U-Net) — MCQs | Digital Image Processing

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

  64. Image Inpainting — MCQs | Digital Image Processing

  65. Image Style Transfer — MCQs | Digital Image Processing

  66. Real-Time Image Processing — MCQs | Digital Image Processing

  67. Augmented Reality (AR) & Virtual Reality (VR) — MCQs | Digital Image Processing

  68. DIP using MATLAB/OpenCV/Python — MCQs | Digital Image Processing

  69. DIP in IoT & Embedded Systems — MCQs | Digital Image Processing

  70. Ethics & Privacy in Image Processing — MCQs | Digital Image Processing

Computer Science Repeated MCQs Book Download

Contents Copyrights Reserved By T4Tutorials