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Titel:

Improving Active Queries with a Local Segmentation Step and Application to Land Cover Classification

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Wuttke, S; Middelmann, W; Stilla, U
Abstract:
Active queries is an active learning method used for classification of remote sensing images. It consists of three steps: hierarchical clustering, dendrogram division, and active label selection. The goal of active learning is to reduce the needed amount of labeled data while preserving classification accuracy. We propose to apply local segmentation as a new step preceding the hierarchical clustering. We are using the SLIC (simple linear iterative clustering) algorithm for dedicated image segmen...     »
Stichworte:
Active Learning, Remote Sensing, Land Cover Classification, Segmentation, Hierarchical Clustering, Active Queries
Zeitschriftentitel:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Jahr:
2017
Band / Volume:
4
Seitenangaben Beitrag:
165
Volltext / DOI:
doi:10.5194/isprs-annals-IV-1-W1-165-2017
WWW:
http://www.pf.bgu.tum.de/pub/2017/wuttke_co_stilla_cmrt17_pap.pdf
Verlag / Institution:
Copernicus GmbH
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