Segmentation and classification of man-made maritime objects in TerraSAR-X images IEEE International Geoscience and Remote Sensing Symposium Vancouver, Canada July 27 th 2011 Michael Teutsch , email: [email protected] Günter Saur, email: [email protected]. - PowerPoint PPT Presentation
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1. G. Saur, M. Teutsch, „SAR signature analysis for TerraSAR-X based ship monitoring“, Proceedings of SPIE Vol. 7830, 2010.
2. M. Teutsch, W. Krüger, „Classification of small Boats in Infrared Images for maritime Surveillance“, 2nd International Conference on WaterSide Security (WSS), Marina di Carrara, Italy, Nov. 3-5, 2010.
Conclusions Aim: Segmentation and classification of man-made objects in satellite SAR
Challenge: Robustness against various object appearances, noise effects
Segmentation: Pre-processing, structure-emphasizing filter with LBPs, orientation estimation with HOGs and PCA, size estimation with row/column histograms, median orientation estimation error: 5.2°
Classification: Extensive feature calculation, feature evaluation and selection, classification with cascaded SVM and 3-NN, 81% correct classification
Future work Improve size estimation (LBPs instead of row/column histograms?)
More data for classification (esp. structure classes)
Other approaches for 3rd classification-stage (local features?)
Is object structuredness and classifiability based on appearance measurable?