There are no author-identified significant results in this report

Malila, W. A.

Morgenstern, J. P.

Nalepka, R. F.

English

NASA Technical Reports Server

E7.5 1 0.. 7.
RESE RCH INSTITUTE6 -/k 2 2/
Of MICHIGAN FORMERLY WILLOW RUN LABORATORIES, THE UNIVERSITY OF MICHIGAN
P. O. BOX 618 * ANN ARBOR * MICHIGAN * 48107 PHONE (313) 483-0500
101900-50-L
20 March 1975
"Made available under NPASA pnsnarsw i
In the interest of early and wide dis-
semination of Earth Resoures Survey
Program information and oi-out ia ,iity
for any use made thereot."
Developing Processing Techniques for Skylab Data
Monthly Progress Report, February 1975
'(E75-10170) DEVELOPING PROCESSING N75- 19794
TECHNIQUES FOR SKYLAB DATA Monthly Progress
Report, Feb. 1975 (Environmental Research
iInst. of Michigan) 3 p HC $3.25 CSCL 05B Unclas
G3/43 00170
EREP Investigation 456 M
NASA Contract NAS9-13280
Prepared by
Richard F, Nalepka - Principal Investigator
William A. Malila - Co-Principal Investigator
James P. Morgenstern
NASA Technical Monitor
Mr. Larry B. York/TF6
National Aeronautics and Space Administration
Johnson Space Center
Prinicpal Investigator Management Office
Houston, Texas 77058
https://ntrs.nasa.gov/search.jsp?R=19750011722 2020-03-23T00:11:38+00:00Z
ER lM FORMERLY WILLOW RUN LABORATORIES. THE UNIVERSITY OF MICHIGAN
101900-50-L
PRECEDING PAGE BLANK NOT FILMED Page 2
Developing Processing Techniques for Skylab Data
Monthly Progress Report, February 1975
The following report serves as the twenty-fourth monthly progress
report for EREP Investigation 456 M which is entitled "Developing
Processing Techniques for Skylab Data". The financial report for this
contract (NAS9-13280) is being submitted under separate cover.
The purpose of this investigation is to test information extraction
techniques for SKYLAB S-192 data and compare with results obtained in
applying these techniques to LANDSAT and aircraft scanner data.
The SKYLAB S-192 data set being studied under this contract is the same
data set being studied by a group from Michigan State University under
the direction of Dr. Lester V. Manderscheid. Inasmuch as ERIM has
subcontracted with MSU to perform S-192 data analysis under contract
NAS9-13332, a monthly report similar to this reporting the common data
preparation is also being issued under that contract.
During February, technique development and processing of SKYLAB
S-192 data continued. We had previously reported on initial implementation
of a technique to aid in the exact location of agricultural fields in
the data,
During the reporting period we successfully digitized all the points
on one of the blown up U-2 photographs, A transformation was calculated,
using regression techniques, to map digitized points from photograph
coordinates to scan line coordinates for scan line straightened data.
It is noteworthy that the best fit regression used a first order
equation with no cross terms. In all we had identified about 400 fields
in a 40 section (square mile) area, We then, tentatively, merged this
information with the S-192 data tape. The results of the digitization
and transformation were reviewed for errors by printing graymaps of
the new ground information channel, Finally, this map was compared to
graymaps of selected channels and the results reviewed again. Areas
were identified where it was clear that a boundary in the ground
information channel was not correct, Finally, a new tape was generated
with a corrected ground information channel.
Work was begun on location of points, etc, in the second U-2
photography but only half this job was completed during the month.
ERIM
FORMERLY WILLOW RUN LABORATORIES. THE UNIVERSITY OF MICHIGAN
101900-50-L
Page 3
In response to our recent request, we received a set of four tapes
in conic (not scan line straightened) format covering southern Michigan.
Tape 3 of the set was identified as containing data acquired over the
test area proper and this tape was converted to ERIM format. A quick
check of the data on the tape using the ERIM statistics and histogram
program showed a marked similarity (as well it should) to the scan line
straightened data we had been using. Thus it appears that the conic
data had been preprocessed in the same manner as the scanline straightened
data.
Our next task with the conic data was to produce graymaps, preferably
undistorted, for use in locating fields, water areas, etc. We began by
making a plot showing the relationship between pixels from a conic scan
and their assignment to straightened line and point numbers under a nearest
neighbor rule, using a simple {x = R cos4, y = R sin4} model. With this as
a guide we marked off small arcs of the conic scan (each about 45-55
points wide) where the arc was fairly linear.
The data were graymapped, in these small strips of 45 or so points, using
the deslew capability in the MAP program, where the slew for each strip had
been determined from the plot. (The deslew capability allows a scan line to
be printed diagonally across and down the page, incrementing one line every
n characters). In this manner a map of SD09 was generated which appeared
to be undistorted and definitely useable for our processing needs.
During the coming month we intend to extend the digitized ground
information to the conic data coordinates. We also intend to look
further into the question of SDO-to-SDO misregistration in both types of
data. It is anticipated that if serious misregistration exist we will be
able to efficiently process the conic data where the algorithm to register
the data is simpleand easy to implement, instead of processing the
straightened data where such corrections are not simple to make. Further, we
plan to begin training procedures by extracting signatures from areas
of known object class and also by utilizing clustering techniques.
Submitted by; (
Richard F. Nalepka
Principal Investigator
Approved by:
D. Erickson
Head, Information Systems
and Analysis Department
Approved by: TL . LC
Richard R. Legault
Director, Infrared and
Optics Division
gs


Developing processing techniques for Skylab data

Abstract

Similar works

Full text

Available Versions

NASA Technical Reports Server