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Specific to radar is a need to process the individual image for 
improved stereo-viewing. This consists of gray-tone processing to 
make the two images more similar to one another. 
2.7 Stereo Model Setup 
One needs a capability to select homologue points in both images and 
to clear stereo parallax; computation of approximate values for 
platform parameters; programs to compute the best orientation; i.e. 
flight and imaging parameters to reconcile the two overlapping images 
with the ground control points. 
2.8 Radar Image Simulation 
Geometrically oriented radar product simulation uses a DEM, radar 
flight and imaging parameters and a theoretical backscatter curve to 
create a SAR image of mountainous terrain. 
2.9 Stereo Ortho Image Production 
This consists of the creation of a synthetic stereo mate to an ortho 
image based on a DEM. Options are needed to create the mate from 
the same radar image as of the ortho photo, or from an overlapping 
one. 
2.10 Radar Image Rectification 
A real radar image is matched to a synthetic radar image and then 
geometrically rectified. Output is an ortho image, sometimes also 
denoted by "geo-coded image". 
2.11 Slope Effect Reduction 
By considering the slope effect on the radar grey values the radar 
image can also be radiometrically rectified. Essentially this consists of 
a difference image between a real and DEM-simulated SAR image. 
2.12 Mosaicking 
Blocks of images are rectified individually to a common geometric 
reference, and rectified images fit together to cover several swaths. 
The software support can meaningfully exploit automated image 
matching capabilities that need to include provisions to emphasize 
look-angle-invariant features. 
2.13 Height Extraction 
Manual methods of stereo image mensuration need to be provided. 
This should be supported by digital image correlation. Radar image 
correlation needs to account for dissimilarities of the thematic image 
contents, speckle and so-called "edge migration". 
2.14 Extraction of Pianimetric Features 
Essentially this is a manually controlled process based on an 
interactive display for either single images or stereo-pairs. Specific 
capabilities may i nclude so-called "mono-plotting", image pre 
processing for segmentation based on tone, texture and edges. 
3. CURRENT STATUS OF DEVELOPMENT 
Most of the components listed in section 2 have been developed by us 
so that experiences exist regarding their usefulness, applicability and 
limitations. However, these developments are experimental so far: 
operational capabilities hardly exist at this time for digital SAR images, 
with a few exceptions. The following discusses some aspects of the 
software components for SAR image analysis. 
Little need exists to discuss general image processing and image 
archiving/retrieval. Clearly this is widely available in operational 
systems. However, DEM processing is already an entirely "exotic" 
capability in typical remote sensing data processing environments. If 
DEM processing exists, as in commercial products by Intergraph or 
International Imaging Systems, it is not integrated with radar relevant 
tasks or image simulation. 
Limited DEM/SAR processing has been reported by Guindon et al. 
(1980), by Naraghi et al. (1983) and in various contributions of our 
own (e.g. Domik et al., 1986). No specific effort has been discussed 
regarding processing of ground control information. This is taken as 
a routine task, except where "smart control" is concerned and control 
is searched in images automatically. 
Radar image set-up and single image radargrammetric exploitation has 
been described in the context of analog film data (Leberl, 1972). It 
has been implemented in several experimental settings, most recently 
in PASCAL on a PDP 11 in the context of stereo-radar measurements 
(Raggam and Leberl, 1984). 
Radargrammetric stereomodel set-up only exists for film images. 
Autometric (1982), and earlier Norvelle (1972) have created real time 
processing capabilities to exploit a radar stereo-model. An equivalent 
exploitation system for digital or "soft-copy" images must be based on 
stereo-viewing of soft-copy images. Regarding SAR an initial step has 
been set by Fullerton et al. (in print). 
Radar image simulation is a widely studied topic. Most efforts 
concern SAR system simulation, i.e. the simulation of raw SAR 
signals. SAR images are created from these with the help of existing 
SAR image "correlators" (Smith et al. 1984). This approach differs 
from direct simulation of SAR images (So-called SAR-product 
simulation) in the manner done by Domik et al. (1986). For 
radargrammetric SAR image analysis the image product simulation 
should be preferrable to the original simulation. 
Image rectification, stereo SAR ortho images and "geo-coding" are 
standard procedures of digital photogrammetry. There is no need to 
differ significantly from classical techniques when dealing with SAR. 
Guindon et al. (1980), Naraghi et al. (1983), Curlander (1986) and 
others have developed experimental capabilities; the system that is 
currently available to the authors is near-operational and has been 
shown to routinely handle large images with 4000 x 8000 pixels. 
Radiometric SAR rectification is a concept that has so far not been 
used widely: we have a near-operational ability as part of "geo 
coding" to also alter the gray-values for effects of terrain slopes 
(Domik et al., 1984a). Mosaicking requires that non-similar images 
be matched; otherwise it is simply the processing of individual images. 
The dissimilarity of overlapping SAR-images is only now becoming a 
subject of study as reported by Fullerton et al. (in print). 
The actual information extraction of pianimetric and height data from 
the SAR images is part of the operation of the stereo plotter and not 
necessarily separate from SAR stereo model set-up or SAR mono 
plotting. The actual specific tools of course need to be available to 
organize the data. This is most easily achieved by interfacing SAR- 
specific software with that of classical geographical data input systems 
as provided with photogrammelric analytical plotters. 
4. DEMONSTRATION STUDIES 
Software has been used to analyze radar images from various 
missions. The current authors have processed airborne ESA SAR- 
580, spaceborne NASA, Seasat, SIR-A and SIR-B as well as other 
images. The hardware environment for exploiting analogue/digital 
images is VAX based, employing a Gould FD5000 color display 
device. Stereo-observation and measurements are yet with analogue 
data on a conventional analytical stereo plotter, Kern DSR-11. 
We have reported most of our experiments. Seasat exploitation 
addressed single image analysis of ice features leading to ice motion 
measurements from image series (Leberl et al., 1982). Seasat images 
also served in the testing of stereo SAR capabilities (Raggam, 1985). 
SIR-A data were the basis for geometric and radiometric rectification 
with the help of DEMs (Domik et al., 1984b), and for the extraction 
of a DEM from crossing flight lines (Kobrick et al, submitted). 
To this date SIR-B has led to the most elaborate radargrammetric 
analyses employing multiple incidence angle imagery. The attention 
was focussed on stereo-evaluation (Leberl et al., 1986a,b), and on the 
creation of secondary image products (Domik et al., 1986). 
Other analyzed imagery was from aircraft and was the subject of 
stereoscopic viewing as well as measuring. Data sets were examined 
from the SAR system of the Jet Propulsion Laboratory (JPL) 
(Raggam, 1985). Other data sets, such as from ESA’s SAR-580 
campaign, were subjected to single image rectification. 
5. CONCLUSIONS 
We have operated on an existing series of software components to 
support the analysis of SAR images, be they individual or overlapping 
coverages. We continue to work to integrate the components into a 
viable, portable capability that should be widely available. 
The paper segments the range of required analysis tools and discusses 
the segments with their purpose, current implementation status by the 
authors and general status in the broad international field. It is 
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