Assessment of Residual Nonuniformity on Hyperspectral Target Detection Performance

Assessment of Residual Nonuniformity on Hyperspectral Target Detection Performance

Bibliographic Details
Main Author: Cusumano, Carl Joseph
Language:English
Published: University of Dayton / OhioLINK 2019
Subjects:
Electrical Engineering
Hyperspectral Imagery
Focal Plane Array
Residual Fixed Pattern Noise
Scene Based Nonuniformity Correction Algorithms
Receiver Operating Characteristic Curve
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=dayton1565137429596905
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-dayton15651374295969052021-08-03T07:12:14Z Assessment of Residual Nonuniformity on Hyperspectral Target Detection Performance Cusumano, Carl Joseph Electrical Engineering Hyperspectral Imagery Focal Plane Array Residual Fixed Pattern Noise Scene Based Nonuniformity Correction Algorithms Receiver Operating Characteristic Curve Hyperspectral imaging sensors suffer from pixel-to-pixel response nonuniformity that manifests as fixed pattern noise (FPN) in collected data. FPN is typically removed by application of flat-field calibration procedures and nonuniformity correction algorithms. Despite application of these techniques, some amount of residual fixed pattern noise (RFPN) may persist in the data, negatively impacting target detection performance. In this work we examine the conditions under which RFPN can impact detection performance using data collected in the SWIR across a range of target materials. We designed and conducted a unique tower-based experiment where we carefully selected target materials that have varying degrees of separability from natural grass backgrounds. Furthermore, we designed specially-shaped targets for this experiment that introduce controlled levels of mixing be tween the target and background materials to support generation of high fidelity receiver operating characteristic (ROC) curves in our detection analysis. We perform several studies using this collected data. First, we assess the detection performance after a conventional nonuniformity correction. We then apply several scene-based nonuniformity correction (SBNUC) algorithms from the literature and assess their abilities to improve target detection performance as a function of material separability. Then, we introduced controlled RFPN and study its adverse affects on target detection performance as well as the SBNUC techniques’ ability to remove it. We demonstrate how residual fixed pattern noise affects the detectability of each target class differently based upon its inherent separability from the background. A moderate inherently separable material from the background is affected the most by the inclusion of SBNUC algorithms. 2019 English text University of Dayton / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=dayton1565137429596905 http://rave.ohiolink.edu/etdc/view?acc_num=dayton1565137429596905 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Electrical Engineering
Hyperspectral Imagery
Focal Plane Array
Residual Fixed Pattern Noise
Scene Based Nonuniformity Correction Algorithms
Receiver Operating Characteristic Curve
spellingShingle Electrical Engineering
Hyperspectral Imagery
Focal Plane Array
Residual Fixed Pattern Noise
Scene Based Nonuniformity Correction Algorithms
Receiver Operating Characteristic Curve
Cusumano, Carl Joseph
Assessment of Residual Nonuniformity on Hyperspectral Target Detection Performance
author Cusumano, Carl Joseph
author_facet Cusumano, Carl Joseph
author_sort Cusumano, Carl Joseph
title Assessment of Residual Nonuniformity on Hyperspectral Target Detection Performance
title_short Assessment of Residual Nonuniformity on Hyperspectral Target Detection Performance
title_full Assessment of Residual Nonuniformity on Hyperspectral Target Detection Performance
title_fullStr Assessment of Residual Nonuniformity on Hyperspectral Target Detection Performance
title_full_unstemmed Assessment of Residual Nonuniformity on Hyperspectral Target Detection Performance
title_sort assessment of residual nonuniformity on hyperspectral target detection performance
publisher University of Dayton / OhioLINK
publishDate 2019
url http://rave.ohiolink.edu/etdc/view?acc_num=dayton1565137429596905
work_keys_str_mv AT cusumanocarljoseph assessmentofresidualnonuniformityonhyperspectraltargetdetectionperformance
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