Hi Jonathan,
Your answer confused me ...
First - in the cookbook example -- otbcli_BandMath -il
disparity_map_ncc.tif -out thres_hdisparity.tif uint8 -exp
"if(im1b3>0.9,255,0)" which mean that the h' disparity is in band 3 ??? is
it a typo error ?
Second - checking the pixel values the disparity image the values
should not be between 0 -1 ?
and finally - In my disparity image band 2 is empty ...
can you help me resolve this puzzle ?
Thanks in advanced
Ofer
On Monday, February 17, 2014 11:03:56 PM UTC+2, Jonathan Guinet wrote:
>
> Hi below my response about Q1
>
> Band1 : Horizontal Disparity map
> Band2 : Vertical Disparity Map
> Band3: Metric values
>
> The BlockMatch output has 3 bands, the fourth is computed by Monteverdi
> and does not exist in input imagee
>
> cheers
>
>
>
> 2014-02-17 17:33 GMT+01:00 Ofer Zilberstein
> <[email protected]<javascript:>
> >:
>
>>
>> Hi OTB uses,
>>
>> I would like to share my experience and raise some Q' regard the process
>> of extraction DSM from Pleiades Stereo Model
>>
>> This is my first step toward change detection between Pleiades fresh
>> imagery & existing geo-data-base
>>
>> 0) OS - Win 7 - 64bit
>>
>> 1) I have Pleiades Regular Stereo Model
>>
>> 2) I extracted ROI of 4000 x 4000 pixels for the left and then I created
>> ROI with -mode.fit option for the right (according to best practice).
>>
>> 3) I started with StereoFramework, and after it crashed I followed
>> section 3.6 step by step and I successfully generated DSM file.
>>
>> 4) Although there are some typo errors (e.g -
>> in otbcli_StereoRectificationGridGenerator the -io.outimage1 should
>> be -io.outleft) the process went fine.
>>
>> *Q-1* - it is stated that otbcli_BlockMatching creates by default a two
>> bands image : the horizontal and vertical disparities. When I look at the
>> image (e.g. disparity_map_ncc.tif) with Monteverdi I see 3 bends and
>> amplitude.
>>
>> bend 1 has values between -43 to 5
>> bend 2 is empty
>> bend 3 looks like disparity map with proper NCC values 0.5 to
>> 0.98 (I think that this is the horizontal)
>> bend 4 (named amplitude) has values between 0 to 40
>>
>> In the step of filtering the NCC values (p. 81) , the example only shows
>> how to filter horizontal (bend 3) then concatenate thresholded horizontal &
>> vertical disparities...
>>
>> However - I cannot figure out where the vertical disparity resides ?
>>
>> ==================================
>>
>> *Q-2* - Is it correct' or essential for accurate DSM and ortho' to
>> follow chapter 3.2.5 Residual registration (between the two stereo images)
>> before the DSM extraction ?
>>
>> Thanks in advanced ...
>>
>> Ofer
>>
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