Paper
11 May 1987 Knowledge Based Sar Images Exploitation
David L. Wang
Author Affiliations +
Abstract
One of the basic functions of SAR images exploitation system is the detection of man-made objects. The perfor-mance of object detection is strongly limited by perfor-mance of sementation modules. This paper presents a detection paradigm composed of an adaptive segmentation algorithm based on a priori knowledge of objects followed by a top-down hierarchical detection process that generates and evaluates object hypotheses. Shadow information and inter-object relationships can be added to the knowledge base to improve performance over that of a statistical detector based only on the attributes of individual objects.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David L. Wang "Knowledge Based Sar Images Exploitation", Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); https://doi.org/10.1117/12.940621
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KEYWORDS
Image segmentation

Synthetic aperture radar

Target detection

Sensors

Detection and tracking algorithms

Statistical analysis

Analytical research

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