New publication on the impact of scale in supervised image classification

New publication on the impact of scale in supervised image classification

written by Dept. of Remote Sensing
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News | News Agriculture | Publications

April 15, 2015

Scales_Fabian_LoewA new paper published recently in PFG presents our ongoing research on the scale issue in the context of supervised image classification for crop monitoring. It extends a conceptional framework for the definition of pixel size requirements in land use classification, which we prevsiously published in Remote Sensing. It adds an analysis of the thematic scale, i.e. the selction of a proper class legend and its interaction with the spatial scale (pixel size).

A full text of this paper can be found at:

http://www.ingentaconnect.com/content/schweiz/pfg/2015/00002015/00000001/art00002

 

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