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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B5. Beijing 2008
disk for 4 hours flying. However, the three-line scanner data can
not be stored like this. The data rate of three-line scanner is
35MByte/s, and the data amount will be up to 500GB for 4
hours flying. On account of this, we decided to employ
advanced SCSI programming interface to transfer data, which
skips windows’ file system to store data into the RAID disks
directly. The capacity of extending RAID disks achieves 560GB,
and we deployed two sets of the storage device, hence it can
fulfil the requirements of 4 hours continuous work.
Airborne data recording system
GPS
reference
data
Raw
GPS/IMU
data
Lvent pulse
data
Auxiliary
data
POSI’ac processing
Coordinates transform, mapping frame
l.evel 0: raw imagery
Interior
orientation
parameters
Loss analysis
Non-uniform
correction
Calculate exterior orientation parameters
►
l.evel 1: geocorreted imagery
Tire third party software to process
Figure 10. The flow diagram of geocorrection
Figure 11. Raw and geocorrected hyperspectral imagery
Figure 12. Raw and geocorrected high spatial imagery
3.6 Digital processing subsystem
After a successful flight, we obtained high spatial data,
hyperspectral data, laser ranging data, attitude and position data,
and all other required auxiliary data. Therefore, the data
processing subsystem also contains following modules: high
spatial program module, hyperspectral program module, laser
program module and attitude & position program module, as
well as a program module to merge all sensors and extract the
required information. Attitude & position program module is
POSPac software developed by Applanix Corporation. Figure
10 indicates the working flow to process the high spatial data.
Hyperspectrai image
High spatial i
Merging algorithm 1 : enhance texture
Merging algori!
ia
: principal coi
,ents transform
1er..
Cj
•Panoramic image
Comparison of algorithm left is meadow, middle shrub, right cement road
Red line represents spectrums before merging, others mean merging results
Figure 13. Diagram of imagery merging. The top left is
hyperspectral images, the top right high spatial images, the
middle left merging results through filter algorithm in frequency
domain, the middle right another merging results through
principle components transformation, at the bottom isthe
comparison of spectrum curve before and after merging.
4. SUMMARY AND CONCLUSIONS
Airborne multidimensional integrated remote sensing system
was finished on 2005. This system can provide high ground
resolution panchromatic and multispectral imagery and
hyperspectral imagery as well as laser ranging data
simultaneously in one flight. The imaging operation is
controlled by appropriate software implemented in the master
computer connected to all sensors via net cables. The distortions
caused by the fight dynamics of the aircraft are rectified using
the high precise information extracted from the position and
attitude measurement device developed by Applanix
Corporation. The standard data format is provided for users’
convenience to apply the commercial processing software.
ACKNOWLEDGEMENTS
Great thanks to my colleagues who participated and made great
contributions in this project, including Li Zhang, Yuwei Chen,
Peixin Hu, Binla Zhang and Qimin Lu et al. Special thanks are
expressed to Mrs. Kangmei Fang for her contributions to optical
calibrations in this system.
REFERENCES
Applanix Corporation, POS AV/510 Specifications,
http://www.applanix.com (accessed Feb. 12, 2008).
LH systems technical reference manual, “LH systems
PAV3 0-Gyro-stabilized camera mount”, 2001.
Rainer Sandau, Bernhard Braunecker, Hans Driescher, Andreas
Eckardt et.al, “Design principle of the LH systems ADS40
airborne digital sensor”, IAPRS, Vol XXXIII, Amsterdam, 2000.
Technical manuals (interior communication).