Dealing with image data
Revision as of 00:23, 7 November 2011 by Kevin Dunn (talk | contribs)
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. and the corresponding [Google map]/
- 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]