- <tr><td>
- <tr><td>-1</td><td>-1</td><td>-1</td><td>-1</td><td>-1</td></tr>
- <tr><td>-1</td><td>-1</td><td>-1</td><td>-1</td><td>-1</td></tr>
- <tr><td>-1</td><td>-1</td><td>24</td><td>-1</td><td>-1</td></tr>
- <tr><td>-1</td><td>-1</td><td>-1</td><td>-1</td><td>-1</td></tr>
- <tr><td>-1</td><td>-1</td><td>-1</td><td>-1</td><td>-1</td></tr>
- </table></p>
-
-Next, we tried some different weight:
-
- <p><table align="center">
- <tr><td>-1</td><td>-1</td><td>-1</td><td>-1</td><td>-1</td></tr>
- <tr><td>-1</td><td>-2</td><td>-2</td><td>-2</td><td>-1</td></tr>
- <tr><td>-1</td><td>-2</td><td>32</td><td>-2</td><td>-1</td></tr>
- <tr><td>-1</td><td>-2</td><td>-2</td><td>-2</td><td>-1</td></tr>
- <tr><td>-1</td><td>-1</td><td>-1</td><td>-1</td><td>-1</td></tr>
- </table></p>
-
-<p><img align="right" width="40%"src="jotunheimen-therm-unsharp5x5.jpeg">
-This one gave more lines showing the borders between the thermal
-pixels.
-
-From: shanette Dallyn <shanette_dallyn@yahoo.ca>
-Subject: Re: My notes from todays exercise
-To: Petter Reinholdtsen <pere@hungry.com>
-Date: Sat, 30 Apr 2005 15:16:59 -0400 (EDT)
-
-Hey Petter!
- Allright, I looked up some stuff on statistics and the most valuable
-conclusion that I can come up with for the histograpm peak question is:
-"The peak values of the histograms represent the the spectral sensitivity
-values that occure the most often with in the image band being analysed"
-
-For the grey level question go to http://www.cs.uu.nl/wais/html/na-dir/sci/
-Satellite-Imagery-FAQ/part3.html I found this and thought that the first major
-paragraph pretty much answered the question for the grey levels.
-
-theory of convolution:
-
- Specialty Definition: Convolution
-
- (From Wikipedia, the free Encyclopedia)
-
-In mathematics and in particular, functional analysis, the convolution
-(German: Faltung) is a mathematical operator which takes two functions and and
-produces a third function that in a sense represents the amount of overlap
-between and a reversed and translated version of .
-
-The convolution of and is written . It is defined as the integral of the
-product of the two functions after one is reversed and shifted.
-
-The integration range depends on the domain on which the functions are
-defined. In case of a finite integration range, and are often considered as
-cyclically extended so that the term does not imply a range violation. Of
-course, extension with zeros is also possible.
-
-If and are two independent random variables with probability densities and ,
-respectively, then the probability density of the sum is given by the
-convolution .
-
-For discrete functions, one can use a discrete version of the convolution. It
-is then given by
-
-When multiplying two polynomials, the coefficients of the product are given by
-the convolution of the original coefficient sequences, in this sense (using
-extension with zeros as mentioned above).
-
-Generalizing the above cases, the convolution can be defined for any two
-square-integrable functions defined on a locally compact topological group. A
-different generalization is the convolution of distributions.
-
-I hope this will help!
-
-Shanette