Dealing with image data

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.
  • The image is a 1024 x 1026 x 7 cube, using 7.3 Mb of storage
  • 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 read more about the Landsat program

1. . Identify some water pixels from the Potomac river in the score plot. Where are they located?
2. . Mask these water pixels to highlight the entire river. Notice how you have to adjust the mask to get both the shallow and the deep water pixels.