Hi mickael.

I would like to perform this task (segmentation and class') & I have the
pleiades pan-sharp image (4 bands)...

can you just direct me on:

1. Let me understand you input - when you say "begin by rasterize the shape
file for all features in the shape file" - I understand that "features" are
the segmentation shapes output from ,lets say, the Mean-Shift segmentation

2. if so, what do you mean by "You will get a set of images" - I get one
segmentation shape file where all segments have only different DN names  -
so why or how I get set of images. please explain what each
image represents ...

3. When you say "classify this image of objects with classical svm" - I
understand that the raster segmented image should includes radiometric
info' of each segment which is the input to the SVM

Thanks in advanced...

Ofer



On Fri, Apr 25, 2014 at 10:11 AM, Mickael Savinaud
<[email protected]>wrote:

>  Hi,
> You could begin by rasterize the shape file for all features in the shape
> file. You will get a set of images and after that you could concatenate all
> these images into one image.
> You could classify this image of objects with classical svm application
> and obtain a object classification.
> Best
> Mickaël
>
>
> Le 18/04/2014 23:03, Ofer Zilberstein a écrit :
>
>
> Hi to all,
>
>  I would like to perform the following workflow within OTB application
>
>  1. Segment the Pleiades image (for example with LSMS) and then
> 2. Classify the segmented image
>
>  It seems to me a better approach then just start with pixel
> classification
>
>  From my first impression I cannot see how to classify objects rather
> then pixels within OTB classification schemes
>
>  Any ideas ?
>
>  Ofer
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*Ofer Zilberstein*

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