| 摘要 |
A system for texture-based automatic detection of man-made objects or targets or features of scenes (automatic target recognition, ATR or detection, ATD) in representations of sensed natural environmental scenes spatially partitions digitized picture elements (pixels) of the scene into plural spatially coordinated groups of pixels and simultaneously determines texture measures including a composite texture measure for each group of pixels. Following self-calibration of the spatially coordinated composite texture measure values along spatially delineated row and orthogonal column directions of groups of pixels, areas of interest (AOIs) are identified as the groups of pixels most likely to contain a man-made object, target or feature in a decision logic which performs a group of statistical tests. Automatic detection of the spatial location of a man-made object, target, or feature within each AOI occurs by a single-threshold segmentation of pixels associated with each AOI into a grouping of target pixels and a grouping of non-target pixels. The spatial location of the man-made object, target, or feature within each AOI can be visually displayed, and the target location coordinates within the entire scene reported, whereupon the automatic detection system is reset for sensing and processing of a subsequent scene.
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