Test F3H - Latitude

Goal: Physical characteristics of the object. The maximum variation in sub-solar position is a function of the latitude of the TAG site. The higher in latitude the TAG site is, the lower quality the variations in Sun vector. Thus, we can get a better idea about how big this error is as we move to the polar regions.

Test Set Up

Data: Detailed Survey.

Start: 75cm Preliminary Survey Shape Model.

Build: Build TAG Site 1 for each Sub-Test, but using different images than standard. Because the shape model has different topography, we would not be able to build a TAG Site at each latitude and compare results -- RMS is strongly effected by variations in topography. As such, we will adjust the position of the Sun so that the images match the observing/illumination conditions that DS would have if TAG Site 1 was at different latitudes.

Sub-Test F3H-1 to F3H-9

For each Sub-Test, we start with the Preliminary Survey Shape Model. We build the topography using the Detailed Survey Images that are available at each latitude. Images will need to be generated with Bennu with the Sun position that cannot really exist. Either Bennu can be inclined by the needed number of degrees with the pole and date matching the summer solstist, or the SPOC has tools to generate images and SUMFILES for specific illumination geometries. The SPOC has conducted similar variations in illumination parameters so this is well understood. For this test, the SPOC would use Imager_MG to generate the images, which generated almost all of the images needed for Test F2-Calibration. The Test Engineer has compared the output of Freespace and Imager_MG and has determined that the variations between the two systems are not significant.

Details for Sub-Test F3H-1 to F3H-9:

Evaluate:

• Relative Accuracy. Create truth models for each of the latitude TAG sties. Then compute the RMS deviation between the truth and the model.

Examples:

Directory Setup

Run from the F3H-Lat directory

0. Start typescript

script
date
pwd
ls -l

1. Create Sub-Test directory

rsync --delete  -ha orig/ test/

2. Add Sub-Test images

• /SPC_Test/F3H-Lat/base/IMAGEFILES/ should already have all the images. We will control the images used by SPC via PICTLIST.TXT

• Should also set up a PICTLIST.TXT for each sub-test and put it in lsupport/

2.1 User Input

testID=F3H-X

2.2 Copy and/or link files

cp registered_images/$testID/NOMINALS/* test/NOMINALS/
ls -l test/NOMINALS
cp registered_images/$testID/SUMFILES/* test/SUMFILES/
ls -l test/SUMFILES
rm test/PICTLIST.TXT
ln -s lsupport/PICTLIST_$testID.TXT test/PICTLIST.TXT
cat test/PICTLIST.TXT
mkdir test/log

3. Tile at 20cm

Use the following tile block with 20cm GSD.

F3H-Tile

4. Iterate

F3H-Iterate

4.1 Setup Iteration

script

cd test
date
pwd
ls -l

cat support/TAG100.in
ls -l /usr/local/bin/bigmap
/usr/local/bin/bigmap < support/TAG100.in
cp USED_MAPS.TXT LIST.TXT 
duplicates

cat make_script.in
ls -l /usr/local/bin/MAKE_LMRKLISTX
MAKE_LMRKLISTX
ln -s scripts/make_scriptP.seed make_scriptP.seed
cat make_scriptP.seed
make_scriptP | tee run.sh
ls -l

# Invoke batch iteration
cat INIT_LITHOS.TXT
lithosP -v
nohup sh run.sh &

#since this will take awhile
exit 
#copy typescript file somewhere...

#when finished iterating

#clean landmarks

script

cd test
date
pwd
ls -l

# Check results
find_nofitP | tee log-fitP
sh support/logEvalP.sh
cat logResults.txt 
cat lowImg.txt
cat redo.txt

# Fix uncorrelated images
# Manual correlation as required

4.2 User input prior to saving

gsd=XX #Enter ground sample distance in cm (ex. 20 for 20cm, 05 for 5cm)
Itnum=XX #Enter iteration number

4.3 Save files

#Save files
mkdir log/${gsd}cmIt${Itnum} #need to change XX as appropriate to gsd and iteration number

find_nofitP | tee log/${gsd}cmIt${Itnum}/log-fit
sh support/logEvalP.sh
cat logResults.txt
cat lowImg.txt
cat redo.txt
cp *INN *OOT run_script*.b log/${gsd}cmIt${Itnum}

# Clean directory
sh rem_script.b
rm TESTFILES/*
rm TESTFILES1/*



#copy typescript somewhere

5. Clean landmarks

Execute Block 7 - Clean