Paper
24 September 2002 In-flight edge response measurements for high-spatial-resolution remote sensing systems
Slawomir Blonski, Mary A Pagnutti, Robert Ryan, Vickie Zanoni
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Abstract
In-flight measurements of spatial resolution were conducted as part of the NASA Scientific Data Purchase Verification and Validation process. Characterization included remote sensing image products with ground sample distance of 1 meter or less, such as those acquired with the panchromatic imager onboard the IKONOS satellite and the airborne ADAR System 5500 multispectral instrument. Final image products were used to evaluate the effects of both the image acquisition system and image post-processing. Spatial resolution was characterized by full width at half maximum of an edge-response-derived line spread function. The edge responses were analyzed using the tilted-edge technique that overcomes the spatial sampling limitations of the digital imaging systems. As an enhancement to existing algorithms, the slope of the edge response and the orientation of the edge target were determined by a single computational process. Adjacent black and white square panels, either painted on a flat surface or deployed as tarps, formed the ground-based edge targets used in the tests. Orientation of the deployable tarps was optimized beforehand, based on simulations of the imaging system. The effects of such factors as acquisition geometry, temporal variability, Modulation Transfer Function compensation, and ground sample distance on spatial resolution were investigated.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Slawomir Blonski, Mary A Pagnutti, Robert Ryan, and Vickie Zanoni "In-flight edge response measurements for high-spatial-resolution remote sensing systems", Proc. SPIE 4814, Earth Observing Systems VII, (24 September 2002); https://doi.org/10.1117/12.452197
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Cited by 14 scholarly publications.
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KEYWORDS
Spatial resolution

Modulation transfer functions

Earth observing sensors

High resolution satellite images

Image processing

Remote sensing

Imaging systems

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