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Pine Mountain Radar Image

In many radar images where the terrain is quite mountainous with high relief, unusual geometric effects may kick in. Radar-blocked shadows become wider as look angles increase. Hill or ridge slopes facing the radar are subject to a distorted appearance called foreshortening expressed as a compresion or "thinning" of slopes on the facing (bright- toned) side and an elongation on the side that is shadowed. This is well displayed in this Seasat image of part of the Pine Mountain thrust in North Carolina :

Seasat Image of Pine Mountain thrust

All foreslopes (those facing the incoming beam, here from the image right) are shortened to some extent in radar images. Visually, these slopes take on an asymmetric form, with the facing slopes seeming to lean toward the radar platform as though steeper. As depression angles increase, the geometry of illumination is such that the slope lengths (top to bottom) progressively decrease, thus increasing the degree of foreshortening. In the extreme, layover - in which slopes appear as though inverted and laid over - occurs when the look angle is less than the foreslope angle, causing the top of a slope to send its returns before the slope bottom does (the distortion is worst in near range locations). An example of this in mountainous terrain appears on the left. Slant range images may also show another geometric contortion, expressedas compression of regularly shaped features (square crop fields may take on rhombus like outlines), maximum at near range positions in flat terrain. These images can be converted to ground range images if independent information on topography is known. Still other distortions may be caused by erratic motions of the aircraft during flight (which are nil from stable space platforms); these too can be compensated by further processing.

Effect of Illumination Angles

Linear features in rolling or mountainous terrains, such as long, straight valleys or ridge crests, may be emphazised by a combination of bright slope-shadow effects, in which the patterns will change depending on their orientations relative to the flight line or look direction. This can be illustrated with an interesting analog experiment conducted by Professor Donald Wise (U. of Massachusetts) using a three dimensional topographic map that was illuminated at low artificial light angles from several different directions:

A simple glance at the two images affords an immediately obvious difference: ridges and valleys that trend N 30° E are strongly enhanced in the S 60° E image whereas similar features receiving illumination from the N 30°W direction are emphasized if their linear orientations cluster around the N 60° E trend. (Note, in both cases the sum of the two directions [as angles] is 90° ; in other words, illumination is normal to the trend that stands out.) Other features at varying orientations are visible in each scene but with subdued expression. As we saw in Section 2, this phenomenon - that linear trends are greatly influenced by illumination azimuth and angle - is quite pronounced in Landsat images, producing a directional bias. That is evident from the plots of fractures on azimuthal rose diagrams where the tendency for those oriented NE- SW (roughly normal to mid-morning illumination directions) to dominate the distribution of orientations. This can be an advantage in air radar imagery - the flight line directions can be chosen to underscore and accentuate certain directions of interest, or flight lines from several notably different directions can be flown to optimize detection of fractures in all orientations.


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Code 935, Goddard Space Flight Center, NASA
Written by: Nicholas M. Short, Sr. email: nmshort@epix.net
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Updated: 1999.03.15.