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The conditions known as layover and foreshortening, common in radar images, are displayed and explained. The effects of varying look angle and look direction, which can significantly modify the appearance of and information in a radar image are discussed.

Foreshortening and Layover

Unlike solar illumination which, coming from a distant source, sends its signal as continuous parallel rays of light (photons) onto a sensed surface, radar sends a discontinuous (intermittent) series of photon pulses from a point source that then spreads out as an angular beam. Moreover, the return signal is closely tied to the transmitted signal in that the travel time to the target and back relates to the history of the pulse. The position of any part of the target relative to the near and far ranges affects its dimensions. As a generality, the width of a surface, be it horizontal or inclined, appears to increase as the beam spreads from near to far.

For topographic surfaces other than flat, the irregularies have a significant effect on the appearance of the resulting image. In radar images where the terrain is quite mountainous with high relief, unusual geometric characteristics may appear. Hill or ridge slopes facing the radar are subject to a distorted appearance called foreshortening expressed as a compression or "thinning" of slopes on the facing (bright-toned) side and an elongation on the side that is shadowed. All foreslopes (those facing the incoming beam, here from the right side) are shortened to some extent in radar images. Visually, these slopes appear distorted, with the facing slopes seeming to lean toward the radar platform, as though they are steeper. As depression angles increase, the geometry makes the slope lengths (top to bottom) appear to progressively decrease, thus increasing the degree of foreshortening. Slopes on the opposite side of mountains with ridges will generally not be illuminated and are thus rendered as shadows (no signal returns and therefore dark). Radar-blocked shadows become wider as look angles increase, so they too are distorted from their projected dimensions. The image below is typical of the foreshortening seen in aircraft radar images of mountainous terrain.

Foreshortening, causing topographic distortions, as seen in this radar image.

Thus, this slope displacement is more pronounced in the near range part of a scene than in the far. Geometrically, foreshortening occurs wherever the radar wavefront is steeper than the slope angles illuminated by the beam. In the extreme, slopes appear as though inverted and laid over, which is called layover. This effect occurs when the look angle is less than the foreslope angle, causing the top of a slope to send its returns before the bottom does (the distortion is worst in near-range locations). In the above image, some layover occurs near the bottom.

8-11: From what direction is the incoming radar illumination coming? Describe the physical appearance of the mountains, i.e., characterize the distortion. ANSWER

The look direction, along which the radar beam is traveling, can always be determined by the position of bright slopes - like those that are sunlit indicating where the Sun is azimuthally, the radar platform will be to the right (looking in the opposite direction) at approximately 90° to the pattern of elongated bright slopes.

The foreshortening effects tend to diminish and appear more uniform throughout the image when the radar unit is well above the surface. This is the case for radar on orbiting satellites. The next image displays this effect well. It’s a Seasat image of part of the Pine Mountain thrust in North Carolina:

Seasat Radar image of the Pine Mountain thrust area in western North Carolina.

Slant range images may also show another geometric contortion, expressed as compression of regularly shaped features (square crop fields may look similar to a rhombus), being maximum at near-range positions in flat terrain. We can convert these images to ground range images if we know independent information on topography. Still other distortions come from erratic aircraft motions during flight (which are nil from stable space platforms). We can also compensate for these by further processing.

Effect of Illumination Direction

Linear features in rolling or mountainous terrains, such as long, straight valleys or ridge crests, normally stand out with a combination of bright slope-shadow effects, in which the patterns change depending on their orientations relative to the flight line or look direction. We illustrate this effect with an interesting analog experiment conducted by Professor Donald Wise (University of Massachusetts), who used a three-dimensional topographic map covered with dark powder that was illuminated at low artificial light angles from several directions:

Appearance of a three-dimensional topographic map (with contour lines hidden), as illuminated artificially, with light source coming from a N 30 E direction.

Same setup but illumination now coming from a N 60 E direction.

A simple glance at the two images shows an immediately obvious difference: ridges and valleys that trend N 30° E are strongly enhanced in the N 60° E image, whereas similar features illuminated from the N 30° E direction are emphasized if their linear orientations trend N 60° E. Note, in both cases the sum of the two angles is 90°; in other words, illumination is perpendicular to the trend that stands out. Other features at varying orientations are visible in each scene but with subdued expression. As we saw on page 2-8, this phenomenon - that linear trends are greatly influenced by illumination azimuth and angle - is quite pronounced in Landsat images, producing a directional bias. That bias is evident from the plots of fractures on azimuthal rose diagrams, where those oriented northeast-southwest (roughly perpendicular to mid-morning sun angles) tend to dominate the distribution of orientations. This trend can be an advantage in airborne radar imagery, because we can chose flight line directions to underscore and accentuate certain directions of interest to optimize detection of fractures in all orientations.

This dependency on direction of illumination is used to good advantage in conducting radar flights over terrains that are sensitive to differences in orientation of mountain ridges, fault valleys, and other conditions where linear features are being sought. The next (aerial) radar image clearly indicates that a different viewpoint (and information extraction) results when the illumination direction shifts relative to the orientation of the scene (north as reference).

Mountaineous area in the Cascade Range (Washington state), seen in two views in which the illumination angle of the radar beam comes from different directions relative to north.

From Drury, S.A., Image Interpretation in Geology, 1987, Allen & Unwin

The effects can be seen by keying in on several features, such as the stream valley at (e), as these "rotate" with the scene shift indicated by the north arrows. This is the same topography but its appearance, as controlled by changing slope illumination, seems quite different in the two view. Note that foreshortening lessens from top to bottom; front illuminated slopes close to the top (near range) display layover.

To bring this point home, consider this image of Precambrian rocks in the African nation of Nigeria.

Radar images of crystalline terrain in Nigeria, with the left image having a look direction from the bottom and the right from the right.

In the left image, the look direction is from the bottom; in the right image illumination is from the right. Same scene - but with notable differences in the expression of topography and structural features.

8-12: Comment on several of the more obvious differences? ANSWER

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Primary Author: Nicholas M. Short, Sr. email: