Recognition of object formations in SAR image sequences

Thorsten Koelzow

doi:10.1117/12.453959

28 January 2002 Recognition of object formations in SAR image sequences

Thorsten Koelzow

Proceedings Volume 4543, SAR Image Analysis, Modeling, and Techniques IV; (2002) https://doi.org/10.1117/12.453959
Event: International Symposium on Remote Sensing, 2001, Toulouse, France

Abstract

This work presents a method for detection, localization, classification and pose estimation of objects in SAR-image sequences. Such methods have to deal with strong noise in SAR-images and have the challenge that shadows, which may occur, should not affect the recognition process. The disturbing effect of noise is significantly reduced in the presented method by temporal integration of the SAR-images, using a motion-model of the sensor. Thus it is possible to perform a segmentation on the integrated images with quantile-thresholds and a region growing algorithm using an edge image created by a Canny-edge detector. To be independent of the number of objects in the image and the brightness of the image, a multi-threshold approach is used. By accumulating the segmented images, following an analysis of the homogeneity of the accumulated segments, it is possible to identify stable segments as possible objects. An optimization process is used to fit a generic model of a house into the stable segments. As initial values for the optimization process the results of a connected-pixel algorithm are used. An application example is presented, in which house-objects can be separated from shadows in a village formation and their pose can be determined correctly.

Citation Download Citation

Thorsten Koelzow "Recognition of object formations in SAR image sequences", Proc. SPIE 4543, SAR Image Analysis, Modeling, and Techniques IV, (28 January 2002); https://doi.org/10.1117/12.453959

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KEYWORDS

Image segmentation

Sensors

Binary data

Image processing algorithms and systems

Image analysis

Synthetic aperture radar

Image filtering

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