It is good to know about these more sophisticated alternatives for image classification. Nonetheless, if GRASS maintains i.cluster and i.maxlink in the default module distribution, it would be helpful to know why this is not working and/or have some kind of an error/warning message generated. I remember running into the same issue a year or two back. No information about why it did not work. It just didn't.
Michael _________________________________ C. Michael Barton Director, Center for Social Dynamics & Complexity Professor of Anthropology, School of Human Evolution & Social Change Head, Graduate Faculty in Complex Adaptive Systems Science Arizona State University voice: 480-965-6262 (SHESC), 480-965-8130/727-9746 (CSDC) fax: 480-965-7671 (SHESC), 480-727-0709 (CSDC) www: http://www.public.asu.edu/~cmbarton, http://csdc.asu.edu On 7/4/18, 4:28 AM, "grass-user on behalf of [email protected]" <[email protected] on behalf of [email protected]> wrote: Date: Wed, 4 Jul 2018 12:20:31 +0200 From: Markus Neteler <[email protected]> To: Giuseppe Cillis <[email protected]> Cc: GRASS user list <[email protected]> Subject: Re: [GRASS-user] Semi-automatic classification with GRASS modules Message-ID: <calfmhhugew2gkn3-y9a5kobn7gfynmxa7ec7nj8tvukha1w...@mail.gmail.com> Content-Type: text/plain; charset="UTF-8" Hi Giuseppe, On Wed, Jul 4, 2018 at 11:36 AM, Giuseppe Cillis <[email protected]> wrote: >Hello everyone, >I'm applying between QGIS and GRASS to apply a semi-automatic classification >of aerial photos. >In practice I would like to use the combination of the grass modules in the >processing of QGIS; i.cluster and i.maxlink. My problem is that with >i.cluster I can not create the "spectral signature" which then must be used >in the second module. Why? >In practice I use two photo areas and I left (As proof) the preset >parameters but at the end of the process (Although it does not give me >errors), only a final report is created and no spectral signature files. >Why? Please consider to use more recent approaches like i.segment, r.learn.ml (addon), v.class.mlR (addon) etc. You can find an overview here which we presented at FOSDEM earlier this year: GRASS GIS in the sky: GRASS GIS as high-performance remote sensing toolbox https://urldefense.proofpoint.com/v2/url?u=https-3A__fosdem.org_2018_schedule_event_geo-5Fgrass_&d=DwIGaQ&c=l45AxH-kUV29SRQusp9vYR0n1GycN4_2jInuKy6zbqQ&r=lk-7X7CEOMDN8GaGVhiDsuO6gEp1wbG6nfT1XEEEtR0&m=NQiNf3lva5k8INoJ_gDB3F0ZINo7d7Na6o5kn-qXBCg&s=4vvZpiQIY12pfnXKjne9n1831FDWU7ntAd184ki1o-Q&e= Best Markus _______________________________________________ grass-user mailing list [email protected] https://lists.osgeo.org/mailman/listinfo/grass-user
