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Thank you very much for all the responses. The purpose of my resampling to
detect change in tree cover on the basis of unsupervised classification
(with ground truth derived from another previous study.
In fact, the 'wonderful rms' value (0.016075) is the source of my worry. I
do not know if I am interpreting it correctly. While resampling, I have
used the procedure given in IDRISI manual for calculating no. of columns
and rows, so a pixel represents 30m for the image. And I have done very
well (?) by keeping rms within the maximum limit of 0.5 times the
resolution. I never expected my resampling to be so 'perfect'. Is such
result really achievable?
Regards
Vivek
>Vivek Varma wrote:
>
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>> Hi Everyone,
>> In a trial resampling of Landsat TM image, I got follwoing results:
>>
>> >Control points used in the transformation :
>>
>> Old X Old Y New X New Y Residual
>> -----------------------------------------------------------------
>> 50.955224 35.425512 687508.136072 5817365.827314 0.026984
>> 46.999211 36.707037 678139.898016 5820095.309884 0.008801
>> 56.657083 34.129128 701152.899997 5814602.226169 0.012568
>> 62.979275 36.134994 716214.636796 5818867.042685 0.022410
>> 80.066281 45.778009 756768.224205 5839116.391862 0.003913
>> 11.612536 33.032220 594016.134369 5812414.807256 0.008329
>> 13.681643 36.285292 599077.687102 5819311.753580 omitted
>>
>> >Overall RMS = 0.016075
>>
>> >Note : RMS Error is expressed in input image units.
>>
>> Resolution is 30m.
>>
>> My problem is how do I know if this RMS is acceptable/ significant?
>>
>> Thanks in advacne.
>> vivek
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>
Vivek K.Varma
Department of Forestry
Institute of Land and Food Resources
University of Melbourne, Vic. 3010
Australia
Phone: +(61) 3 8344 5238 (Work); +(61) 3 9383 3417 (Home)
FAX: +(61) 3 9349 4172
Web site: http://www.GeoCities.com/RainForest/Vines/5953/index.htm
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