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Image Mining Using Directional Spatial Constraints
2010
IEEE Geoscience and Remote Sensing Letters
Spatial information plays a fundamental role in building high-level content models for supporting analysts' interpretations and automating geospatial intelligence. We describe a framework for modeling directional spatial relationships among objects and using this information for contextual classification and retrieval. The proposed model first identifies image areas that have a high degree of satisfaction of a spatial relation with respect to several reference objects. Then, this information is
doi:10.1109/lgrs.2009.2014083
fatcat:mobfcywurrdjjet35adijjvyu4