Paper
5 November 2003 In-flight MTF characterization for high-resolution multispectral MCM reconnaissance
Author Affiliations +
Abstract
Science and Technology International (STI) has developed a six-band multispectral imager optimized for surf-zone reconnaissance and mine countermeasures (MCM). Airborne surf-zone MCM requires both accurate spectral imaging and high spatial resolution. Vibration and aircraft motion degrade the image quality. However weight, volume and power constraints preclude stabilized operation of the cameras. Thus, the MTF needs to be measured in flight to insure it meets the resolution requirements. We apply the slanted-edge MTF method to the in-flight characterization of airborne high-resolution cameras, analyzing images of orthogonal slanted edges to estimate the motion and vibration contributions to the MTF, and show that the system exceeds the resolution requirements for surf-zone MCM. We also develop a methodology for scaling to other altitudes and speeds, and show that the system will perform well throughout its operational envelope. The slanted-edge method is more accurate and reproducible than the alternative of placing MTF bar targets under the aircraft flight path. Further, the slanted-edge targets are easier to deploy and recover, and ease the navigation tolerances.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael James DeWeert, Carrie L. Leonard, Leon Atkinson-Derman, Eric Louchard, Michael Hearne, and Andrew Sparks "In-flight MTF characterization for high-resolution multispectral MCM reconnaissance", Proc. SPIE 5155, Ocean Remote Sensing and Imaging II, (5 November 2003); https://doi.org/10.1117/12.512808
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Optical transfer functions

Modulation transfer functions

Cameras

Imaging systems

Image analysis

Multispectral imaging

Motion estimation

Back to Top