Fce 552 part6-3

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Fce 552 part6-3

  1. 1. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Image Interpretation 1. Concept of image interpretation 2. Procedures of Interpretation 3. Interpretation Elements 4. Interpretation Keys 5. Applications of Image InterpretationB. Sc. (Civil Engineering) University of Nairobi
  2. 2. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Concept of Image InterpretationEngineering Surveying IV University of Nairobi
  3. 3. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology The Remote Sensing ProcessEngineering Surveying IV University of Nairobi
  4. 4. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Objective of Image InterpretationTo extract qualitative and quantitative informationfrom imagery about the shape, location, structure,characteristics, quality, condition, relationship of andbetween objects using human knowledge.B. Sc. (Civil Engineering) University of Nairobi
  5. 5. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Information from ImageryB. Sc. (Civil Engineering) University of Nairobi
  6. 6. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Human Interpretation vs Computer based InterpretationB. Sc. (Civil Engineering) University of Nairobi
  7. 7. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Procedures of InterpretationB. Sc. (Civil Engineering) University of Nairobi
  8. 8. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Procedures of InterpretationB. Sc. (Civil Engineering) University of Nairobi
  9. 9. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Image Classification (1) Image Classification involves assigning all pixels in the image to particular classes or themes (e.g., water, coniferous forest, deciduous forest, maize, wheat, etc.). The resulting classified image is comprised of a mosaic of pixels, each of which belong to a particular theme, and is essentially a thematic "map" of the original image.B. Sc. (Civil Engineering) University of Nairobi
  10. 10. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Image Classification (2)Information Classes and Spectral Classes: Information classes are those categories of interest that the analyst is actually trying to identify in the imagery, such as different kinds of crops, different forest types or tree species, different geologic units or rock types, etc. Spectral classes are groups of pixels that are uniform (or near-similar) with respect to their brightness values in the different spectral channels of the data. The objective is to match the spectral classes in the data to the information classes of interest. Rarely is there a simple one-to one match between these two types of classes.B. Sc. (Civil Engineering) University of Nairobi
  11. 11. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Interpretation ElementsB. Sc. (Civil Engineering) University of Nairobi
  12. 12. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Interpretation ElementsB. Sc. (Civil Engineering) University of Nairobi
  13. 13. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Interpretation KeysB. Sc. (Civil Engineering) University of Nairobi
  14. 14. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Elements of Tone/ColourB. Sc. (Civil Engineering) University of Nairobi
  15. 15. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Elements of Size & ShapeB. Sc. (Civil Engineering) University of Nairobi
  16. 16. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Elements of TextureB. Sc. (Civil Engineering) University of Nairobi
  17. 17. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Elements of PatternB. Sc. (Civil Engineering) University of Nairobi
  18. 18. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Elements of Height & ShadowB. Sc. (Civil Engineering) University of Nairobi
  19. 19. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Elements of Associated RelationshipsB. Sc. (Civil Engineering) University of Nairobi
  20. 20. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Interpretation Keys for TreesB. Sc. (Civil Engineering) University of Nairobi
  21. 21. FCE 552: Engineering Survey IV Dept. of Geospatial & Space TechnologyApplications of Image Interpretation B. Sc. (Civil Engineering) University of Nairobi
  22. 22. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Interpretation of Aster ImageB. Sc. (Civil Engineering) University of Nairobi
  23. 23. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Colour CompositionB. Sc. (Civil Engineering) University of Nairobi
  24. 24. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Image Interpretation – Land CoversB. Sc. (Civil Engineering) University of Nairobi
  25. 25. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Image Interpretation – FloodsB. Sc. (Civil Engineering) University of Nairobi
  26. 26. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Image Interpretation – WildlifeB. Sc. (Civil Engineering) University of Nairobi
  27. 27. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Image Interpretation – VolcanoB. Sc. (Civil Engineering) University of Nairobi
  28. 28. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Image Interpretation – MineB. Sc. (Civil Engineering) University of Nairobi
  29. 29. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Image Interpretation – EnvironmentB. Sc. (Civil Engineering) University of Nairobi
  30. 30. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology Image Interpretation – OceanB. Sc. (Civil Engineering) University of Nairobi

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