Land Cover and Land Use Classification with TWOPAC: towards Automated Processing for Pixel- and Object-Based Image Classification

Land Cover and Land Use Classification with TWOPAC: towards Automated Processing for Pixel- and Object-Based Image Classification

We present a novel and innovative automated processing environment for the derivation of land cover (LC) and land use (LU) information. This processing framework named TWOPAC (TWinned Object and Pixel based Automated classification Chain) enables the standardized, independent, user-friendly, and com...

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Bibliographic Details
Main Authors: Stefan Dech, Vo Quoc Tuan, Steffen Gebhardt, Claudia Kuenzer, Thilo Wehrmann, Juliane Huth
Format: Article
Language:English
Published: MDPI AG 2012-09-01
Series:Remote Sensing
Subjects:
TWOPAC
land cover and land use
automated processing
supervised
decision tree
web processing service
classification
validation
Online Access:http://www.mdpi.com/2072-4292/4/9/2530

Internet

http://www.mdpi.com/2072-4292/4/9/2530

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