In this paper, we summarize spatial distortions due to imaging with intensified cameras, as well as spectral errors that result from interaction of sensor optics with the environment (e.g., thermal drift in spectral filter frequency response). We discuss the spatial effects of detector noise and error, and summarize anomalies observed in our recent study of intensified multispectral camera circuitry. We briefly review the effects of interfacial refraction and in-water scattering upon the spatial clarity and resolution of submerged target imagery. We conclude our development with an error budget that is configured for several common sensing scenarios (e.g., staring-array and pushbroom sensors), then discuss effects of decorrelation between spectral, spatial, and temporal variables on target detection accuracy.
Member of
Contributors
Publisher
Society of Photo-Optical Instrumentation Engineers
Date Issued
1996
Note
Language
Type
Genre
Extent
17 p.
Subject (Topical)
Identifier
3340782
Additional Information
In this paper, we summarize spatial distortions due to imaging with intensified cameras, as well as spectral errors that result from interaction of sensor optics with the environment (e.g., thermal drift in spectral filter frequency response). We discuss the spatial effects of detector noise and error, and summarize anomalies observed in our recent study of intensified multispectral camera circuitry. We briefly review the effects of interfacial refraction and in-water scattering upon the spatial clarity and resolution of submerged target imagery. We conclude our development with an error budget that is configured for several common sensing scenarios (e.g., staring-array and pushbroom sensors), then discuss effects of decorrelation between spectral, spatial, and temporal variables on target detection accuracy.
One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. This manuscript is an author version and may be cited as: Schmalz, M. S., & Caimi, F. M. (1996). An introduction to analysis of errors inherent in multispectral imaging through the sea surface. 2. Sensor and interfacial effects. In S. S. Shen (Ed.), Hyperspectral remote sensing and applications: 5-6 August 1996, Denver, Colorado. Proceedings of the SPIE, 2821. (pp. 227-242). Bellingham, Washington: SPIE. doi:10.1117/12.257172
Florida Atlantic University. Harbor Branch Oceanographic Institute contribution #1170.
Date Backup
1996
Date Text
1996
DOI
10.1117/12.257172
Date Issued (EDTF)
1996
Extension
FAU
FAU
admin_unit="FAU01", ingest_id="ing12801", creator="creator:BCHANG", creation_date="2012-05-15 16:43:01", modified_by="super:FAUDIG", modification_date="2014-02-13 14:36:04"
IID
FADT3340782
Issuance
single unit
Organizations
Attributed name: Harbor Branch Oceanographic Institute
Person Preferred Name
Schmalz, Mark S.
creator
Physical Description
17 p.
Title Plain
An introduction to analysis of errors inherent in multispectral imaging through the sea surface. 2. Sensor and interfacial effects
Origin Information
Society of Photo-Optical Instrumentation Engineers
1996
single unit
Title
An introduction to analysis of errors inherent in multispectral imaging through the sea surface. 2. Sensor and interfacial effects
Other Title Info
An introduction to analysis of errors inherent in multispectral imaging through the sea surface. 2. Sensor and interfacial effects