[GRASS-user] Output of i.segment

[Jaya Krishnan]

Thanks! However I don't completely understand. Are you saying that there is
no currently way to classify directly from raster result of i.segment based
on some raster statistics, and possibly choosing vector training areas from
this?

Jaya



On 3 April 2016 at 08:31, Moritz Lennert <mlennert at club.worldonline.be>
wrote:

> On 31/03/16 01:17, Jaya Krishnan wrote:
>
>> Hi fellow GRASS users,
>>
>> I have outputs of i.segment (object segmentation) for 30m Landsat
>> imagery from 4 dates. The segments are around 10000 each for each
>> imagery. How can I use these outputs for land cover change analysis? Do
>> I have to vectorize these and recode the classes, or is there a more
>> efficient way?
>>
> >
>
> The classical approach would be:
>
> 1) segmentation
> 2) caracterization of the segments
> 3) selection of training segments or training points
> 4) classification
>
> Currently, in GRASS you have the following addons for the respective steps:
>
> 2) v.stats / i.segment.stats
> 4) v.class.ml / v.class.mlpy / v.class.mlR
>
> You can check the section on Object-based classification in [1] for more
> info (although partially outdated).
>
> Moritz
>
>
> [1] https://grasswiki.osgeo.org/wiki/Image_classification
>
>
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