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Interactive models for semantic labeling of satellite images Krzysztof Koperski, Giovanni Marchisio, Carsten Tusk, and Selim Aksoy
 

Summary: Interactive models for semantic labeling of satellite images
Krzysztof Koperski, Giovanni Marchisio, Carsten Tusk, and Selim Aksoy
Insightful Corporation
1700 Westlake Ave. N, Suite 500
Seattle, WA, 98109-3044
{krisk, giovanni, saksoy, ctusk}@insightful.com
ABSTRACT
We describe a system for interactive training of models for semantic labeling of land cover. The models are build based
on three levels of features: 1) pixel level, 2) region level, and 3) scene level features. We developed a Bayesian
algorithm and a decision tree algorithm for interactive training. The Bayesian algorithm enables training based on pixel
features. The scene level summaries of pixel features are used for fast retrieval of scenes with high/low content of
features and scenes with low confidence of classification. The decision tree algorithm is based on region level features
that are extracted based on 1) spectral and textural characteristics of the image, 2) shape descriptors of regions that are
created through segmentation process, and 3) auxiliary information such as elevation data. The initial model can be
created based on a database of ground truth and than be refined based on the feedback supplied by a data analyst who
interactively trains the model using the system output and/or additional scenes. The combination of supervised and
unsupervised methods provides a more complete exploration of model space. A user may detect the inadequacy of the
model space and add additional features to the model. The graphical tools for the exploration of decision trees allow
insight into the interaction of features used in the construction of models. The preliminary experiments show that
accurate models can be build in a short time for a variety of land covers. The scalable classification techniques allow for

  

Source: Aksoy, Selim - Department of Computer Engineering, Bilkent University

 

Collections: Computer Technologies and Information Sciences