Difference between revisions of "Dealing with image data"

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* If you have MATLAB on your laptops, please [[Media:Maccmia-1.9.zip | download and install MACCMIA]] for the next class (not too serious if you can't get it installed).
== MACCMIA exercise ==
 
If you have MATLAB, please [[Media:Maccmia-1.9.zip | download and install MACCMIA]] for to complete the questions below.
 
* Data file: [[Media:Landsat7DC.mat | a 7-channel Landsat image ]] of Washington D.C.
** Channel 1 = blue/green [450 to 520 nm]
** Channel 2 = mainly green [520 to 600 nm]
** Channel 3 = red [ 630 to 690 nm]
** Channel 4 = Near infrared [760 to 900 nm]
** Channel 5 = Moisture and vegetation sensitive mid infrared [1550 to 1750 nm]
** Channel 6 = Thermal infrared [10400 to 12500 nm]
** Channel 7 = Mineral-sensitive mid infrared [2085 to 2350 nm]
 
* You can [http://en.wikipedia.org/wiki/Landsat_program read more about the Landsat program]

Revision as of 00:22, 7 November 2011

Class 9: Dealing with image data for product appearance monitoring (04 November)

<pdfreflow> class_date = 04 November 2011 [19 Mb] button_label = Create my projector slides! show_page_layout = 1 show_frame_option = 1 pdf_file = lvm-class-9.pdf </pdfreflow>

MACCMIA exercise

If you have MATLAB, please download and install MACCMIA for to complete the questions below.

  • Data file: a 7-channel Landsat image of Washington D.C.
    • Channel 1 = blue/green [450 to 520 nm]
    • Channel 2 = mainly green [520 to 600 nm]
    • Channel 3 = red [ 630 to 690 nm]
    • Channel 4 = Near infrared [760 to 900 nm]
    • Channel 5 = Moisture and vegetation sensitive mid infrared [1550 to 1750 nm]
    • Channel 6 = Thermal infrared [10400 to 12500 nm]
    • Channel 7 = Mineral-sensitive mid infrared [2085 to 2350 nm]