| 06 Jun 2008 11:38 AM |
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When I read about the Jeffries-Matusita distance I find info that it ranges from 0 - 2000 or 0 to the sqrt of 2, yet in ENVI the values range from 0 to 2.0. Can someone explain this?
Thanks!
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Deleted User
New Member
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| 06 Jun 2008 11:38 AM |
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Thanks for the info.
Can you also tell me if it is assuming the classes are normally distrbuted? It seems like you might be able to work the equation in 2 ways depending on if the data is / is not normal.
Thanks again
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MariM
Veteran Member
Posts:2396 
| 06 Jun 2008 11:38 AM |
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It is the Transformed Divergence that is defined between the ranges of 0-2000. The J-M Distance is defined as the sqrt of 2(1 - e ^-alpha) where alpha is the bhattacharya distance.
The Jeffries-Matusita distance has an upper bound of 1.41 * sqrt(2) and a lower bound of 0.
I hope this helps!
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Deleted User
New Member
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| 29 Jul 2012 05:59 PM |
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But ENVI shows the J-M distance squared... so the upper bound is actually increased to 2.
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