Paper
15 October 1993 Integration of stereophotogrammetry with image restoration models for distortion-tolerant viewing through the sea surface
Author Affiliations +
Abstract
Key to the accurate quantification of optical distortions incurred by viewing through a refractive interface is a well-defined knowledge of interfacial structure. We have previously demonstrated [1,2] the feasibility of restoring imagery degraded by simulated viewing through the sea surface. In a companion paper [3] ,we discussed the effect of physical processes such as reflection, scattering, and absorption upon the accuracy of stereophotgrammetric estimation of sea topography. In particular, we analyzed limitations upon the range accuracy of the stereo vision paradigm, and discussed corruption of the disparity computation by backscattered irradiance which was correlated with the interfacial reflectance pattern. In this preliminary paper, we discuss implementational constraints upon the accuracy of restoring trans-MBL (Marine Boundary Layer) imagery, especially when the interfacial topography is erroneous. We summarize results derived in the companion paper, which contains an analysis of the range errors obtained from our proposed stereo vision sensor and disparity computation algorithm. We then discuss how such results are affected by different sensor configurations, and analyze how errors might further arise from the physical processes involved in airborne sensing environments. In particular, we analyze the effect of interfacial ranging error upon feature localization in the reconstructed target. A discussion of implementational techniques for compensating range error emphasizes practical issues of optical and electro-optical sensor design.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mark S. Schmalz "Integration of stereophotogrammetry with image restoration models for distortion-tolerant viewing through the sea surface", Proc. SPIE 1943, State-of-the-Art Mapping, (15 October 1993); https://doi.org/10.1117/12.157138
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Cited by 4 scholarly publications.
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KEYWORDS
Sensors

Cameras

Scattering

Error analysis

Reflectivity

Stereoscopic cameras

Image restoration

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