New publication on the impact of scale in supervised image classification

New publication on the impact of scale in supervised image classification

m

Agriculture | News | publication

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

 

you may also like:

New publication on decoding stress in urban public spaces

New publication on decoding stress in urban public spaces

Researchers from the Karlsruhe Institute of Technology (KIT), the Earth Observation Center (EOC) of the German Aerospace Center (DLR) in Oberpfaffenhofen and our Earth Observation Research Cluster of the University of Würzburg teamed up for a study on decoding stress...

A Glimpse into Our Research: Data on Display in the Foyer

A Glimpse into Our Research: Data on Display in the Foyer

Stepping into the foyer, visitors are now greeted by large, striking images that tell the story of our research through data. Each visual represents a unique scientific perspective – from the Arctic to the cultivated landscapes of Bavaria, and from forest canopies to...

Successful MSc defense by Sonja Maas

Successful MSc defense by Sonja Maas

Big congratulations to Sonja Maas, who successfully defended her Master thesis today on the highly relevant and increasingly pressing topic: LiDAR-Based Acquisition Strategies for Forest Management Planning in a Mature Beech Stand Supervised by Dr. Julian Fäth and...

New publication on bottom-up building exposure modeling

New publication on bottom-up building exposure modeling

Researchers from the German Remote Sensing Data Center (DFD) of the German Aerospace Center (DLR), the Department of Geography of the Rheinische Friedrich-Wilhelms-University in Bonn and our Earth Observation Research Cluster (EORC) of the...