Could you please share the experience here.
Thanks.

On Friday, 21 September 2018 13:24:02 UTC+3, Efi wrote:
>
> Thank you for the feedback Hristo, will try it :-)
>
> On Fri, Sep 21, 2018 at 1:04 PM Hristo Nikolov <hrist...@gmail.com 
> <javascript:>> wrote:
>
>> I'd suggest to try  TrainImagesClassifier with SAR rasters and then 
>> covert the result in vector format. This could test your approach.
>>
>> On Thursday, 20 September 2018 11:56:03 UTC+3, Efi wrote:
>>>
>>> Dear All,
>>>
>>> I have a question about implementing obect-based classification of oil 
>>> spills in SAR images. After segmentation, I have run TrainVectorClassifier 
>>> on one image. Problem is that oil spills can vary in size and shape (rather 
>>> curved, elongated, etc) and I would like to improve the training step by 
>>> adding more varied training data, that is from more than one images (we 
>>> would like to perform the classification using OTB). Is there a tool or 
>>> method in OTB that allows for the creation of a 'database' of vector 
>>> training data? Closest to this that I have found so far is the 
>>> TrainImageClassifier but it applies to raster data.
>>> All ideas are welcome!
>>>
>>> Liten  
>>>
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