Sensor Performance Lab
The GeoEye Sensor Performance Lab provides full imaging system–calibration services
for remote-sensing payloads. System tools are built for multi-sensor analysis, and
services include:
- Geo-location accuracy
- Image-quality monitoring programs
- Full turnkey systems for geometric and radiometric calibration and image-quality
characterization
The Sensor Performance Lab will also monitor GeoEye-1, the world’s highest-resolution
commercial satellite, launching in 2008.
Capabilities
Geometric Calibration: Provides ground-processing systems with the necessary
parameters to accurately geoposition image pixels. Calibration parameters are determined
by acquiring and analyzing imagery over GeoEye Geometric Calibration ranges. The
calibration ranges provide a dense set of high-accuracy control points, while the
calibration system supplies automated image measurement in the imagery control points.
Triangulation and regression are then used to determine the optimal calibration
parameters. Parameters include:
- Telescope focal length
- Perspective center
- Field angle map
- Star track alignments
- Gyro alignment
- Gyro calibration
Geo-location Accuracy Assessment: Verification of the accuracy of a geo-location
imaging system is performed by comparing image measurements against high-accuracy
control points. In addition to the geometric calibration ranges, worldwide Test
and Evaluation (T&E) sites are used to measure the imaging system’s CE90/LE90 accuracy.
The T&E sites allow for frequent accuracy assessments around the world, separate
from the calibration sites.
Radiometric Calibration: Equalizes the individual detector response to produce
uniformity and eliminate visual artifacts, such as streaking and banding, intrinsic
to digital scanning–imaging systems. Absolute radiometric calibration sets the in-band
at-aperture radiance for the multi-spectral and panchromatic channels. Depending
on the sensor and platform capabilities, a variety of techniques can be employed
to perform the relative and absolute calibration-parameter determination.
Image-Quality Assessment: Tools for measuring and analyzing key image-quality
metrics, such as Modulation Transfer Function (MTF) and Signal-to-Noise Ratio (SNR),
are available for on-orbit system characterization. These tools enable quality analysis
on images of the Big Spring, Texas, test range. Hosted on platforms with high-quality
calibrated displays and tuned image enhancement, they extract the most-complete
information possible, ensuring the highest-quality results.