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An Overview of Remote Sensing and Image Processing

An Overview of Remote Sensing and Image Processing. by Miles Logsdon with thanks to Robin Weeks and Frank Westerlund. What is Remote Sensing?.

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An Overview of Remote Sensing and Image Processing

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  1. An Overview of Remote Sensing and Image Processing by Miles Logsdon with thanks to Robin Weeks and Frank Westerlund

  2. What is Remote Sensing? • Remote Sensing is a technology for sampling radiation and force fields to acquire and interpret geospatial data to develop information about features, objects, and classes on Earth's land surface, oceans, and atmosphere (and, where applicable, on the exterior's of other bodies in the solar system). • Remote Sensing is detecting and measuring of electromagnetic energy (usually photons) emanating from distant objects made of various materials, so that we can identify and categorize these object by class or type, substance, and spatial distribution.

  3. Land surface from satellite • Four landsat-5 Thematic Mapper multispectral image mosaic displayed in 4,3,2-RGB (false color) • August 2nd and 27th, 1998, 10:15a.m. pst. • 16 day repeat, 30m

  4. Ocean Color • SeaWiFs classified ocean color image with unclassified land surface displayed 632-RGB • August 16th, 1999 • Daily, 1km

  5. Time series One year of daily AVHRR at 1km of the Amazon Basin

  6. Extra Info http://courses.washington.edu/urbdp467/handouts.html

  7. Reflected Light

  8. The “PIXEL”

  9. Wavelength (Bands)

  10. Band Combinations 3,2,1 4,3,2 5,4,3

  11. Resolution and Spectral Mixing

  12. Spectral Mixutre

  13. Spectral Signatures

  14. Spectral Profile

  15. Spatial Profile

  16. Spectral profile surface

  17. Spectral Dimensions

  18. 3 band space

  19. Clusters

  20. 1d classifier

  21. Unsupervised ClassificationISODATA - Iterative Self-Organizing Data Analysis Technique

  22. ISODATA clusters

  23. Supervised Classification

  24. Parametric classifiers

  25. Classification Systems http://courses.washington.edu/urbdp467/classify.html

  26. Classification

  27. Hybrid Classification

  28. Hybrid - “superblocks”

  29. Feature Space

  30. Ground Truth

  31. Classified Product

  32. Working with ERDAS 8.3.1 http://courses.washington.edu/urbdp467/exer.html *See Quick Tips DATA: D:/classes/riv2000/kingco/kc_tm98raw.img D:/classes/riv2000/kingco/issaquah_quad.img

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