Lab 7
Radiometric,
Spatial and Spectral Enhancements
Geog 418/518, Fundamentals
of Remote Sensing
Name 1 Name 2
.
1. Using the Layer/Info tool, look at the general information and histograms for each band. Fill in the table below, collecting spectral data for several water points and several forest points. =
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Band |
Minimum value |
Median value |
Maximum value |
Water pixel values |
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Unimodal or Bimodal? |
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1 |
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2 |
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3 |
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4 |
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5 |
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6 |
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7 |
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2. What
two categories of features are driving the bimodal distributions in certain
bands? You can use the cursor inquiry
tool if you need to determine which features correspond to which pixel values
in a given band.
3.
Why is the band 6 distribution unimodal, while
the surrounding bands (5 an 7) are bimodal?
4.
Why is there so little contrast on the
image? Explain in terms of the raw pixel
values (see your table above) and the values these pixels receive on the
screen.
5. How does the breakpoint curve in the Breakpoint
Editor window change? Does it become
steeper or shallower?
6. Describe how the output histogram (the
yellow one on your window) changes when you go from a standard deviation of 2.0
to 1.0. Specifically, does the 1.0 std
dev output histogram have more of fewer values in 240 to 260 range? Why is this?
7. Based on your table above, and assuming that the
range is a it wider than the pixels you found, what range of values in band 4
would you want to stretch in order to highlight variations in the water?
8. What color is everything outside the lake? Why is this?
9. Where are the darkest pixels in the lake area and
why do they occur in these locations?
10. Where are the medium and lighter gray pixels
located in the lake. Why do they occur
in these relative locations?
11. Now what shade is the lake and why is this the
case?
12. Examine the forest near the shoreline. What is the range of tones you see now in
this region?
13. Which
of the four approaches, if any, do the best job of picking up trails? Zoom in on the area around Spenser Butte to
check this out.
14. Visit
the NE corner of the images. Which image
does the best job of mapping the housing
and roads in that area?
15. Given
your answer to 14, what might be an application of edge enhancement detections
for mapping purposes?
16. How
would you describe the differences between the 3x3, the 5x5 an the 7x7 edge
enhancement figures in terms of texture, the size of objects you can discern on
the images, and the range of grays you see on the image?