Perceptual grouping of row-gestalts in aerial NIR images of urban terrain

Gestalt-laws such as good continuation and similarity are coded as production systems. Applied to aerial images such systems can automatically perform grouping inferences following the archetype of human perception. Two variants are investigated on the same data: (1) Using only the geometrical gestalt laws on short contour line objects; (2) using also color close to the contours from the NIR images. The second variant tends to produce less illusory gestalts and more useful output.