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Modeling, simulation, and analysis of optical remote sensing systemsRemote Sensing of the Earth's resources from space-based sensors has evolved in the past 20 years from a scientific experiment to a commonly used technological tool. The scientific applications and engineering aspects of remote sensing systems have been studied extensively. However, most of these studies have been aimed at understanding individual aspects of the remote sensing process while relatively few have studied their interrelations. A motivation for studying these interrelationships has arisen with the advent of highly sophisticated configurable sensors as part of the Earth Observing System (EOS) proposed by NASA for the 1990's. Two approaches to investigating remote sensing systems are developed. In one approach, detailed models of the scene, the sensor, and the processing aspects of the system are implemented in a discrete simulation. This approach is useful in creating simulated images with desired characteristics for use in sensor or processing algorithm development. A less complete, but computationally simpler method based on a parametric model of the system is also developed. In this analytical model the various informational classes are parameterized by their spectral mean vector and covariance matrix. These class statistics are modified by models for the atmosphere, the sensor, and processing algorithms and an estimate made of the resulting classification accuracy among the informational classes. Application of these models is made to the study of the proposed High Resolution Imaging Spectrometer (HRIS). The interrelationships among observational conditions, sensor effects, and processing choices are investigated with several interesting results.
Document ID
19900017060
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Kerekes, John Paul (Purdue Univ. West Lafayette, IN, United States)
Landgrebe, David A. (Purdue Univ. West Lafayette, IN, United States)
Date Acquired
September 6, 2013
Publication Date
August 1, 1989
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
TR-EE-89-49
NASA-CR-186648
NAS 1.26:186648
Accession Number
90N26376
Funding Number(s)
CONTRACT_GRANT: NAGW-925
CONTRACT_GRANT: NSF ECS-85-07405
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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