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Hyperspectral Vehicle Brdf Learning: An Exploration Of Vehicle Re Ectance Variation And Optimal Measures Of Spectral Similarity For Vehicle Reacquisition And Tracking Algorithms, Joseph Svejkosky
Theses
The spectral signatures of vehicles in hyperspectral imagery exhibit temporal variations due to the preponderance of surfaces with material properties that display non-Lambertian bi-directional reflectance distribution functions (BRDFs). These temporal variations are caused by changing illumination conditions, changing sun-target-sensor geometry, changing road surface properties, and changing vehicle orientations. To quantify these variations and determine their relative importance in a sub-pixel vehicle reacquisition and tracking scenario, a hyperspectral vehicle BRDF sampling experiment was conducted in which four vehicles were rotated at different orientations and imaged over a six-hour period. The hyperspectral imagery was calibrated using novel in-scene methods and converted to …
Characterization And Reduction Of Noise In Manifold Representations Of Hyperspectral Imagery, Can Jin
Characterization And Reduction Of Noise In Manifold Representations Of Hyperspectral Imagery, Can Jin
Theses
A new workflow to produce dimensionality reduced manifold coordinates based on the improvements of landmark Isometric Mapping (ISOMAP) algorithms using local spectral models is proposed. Manifold space from nonlinear dimensionality reduction better addresses the nonlinearity of the hyperspectral data and often has better per- formance comparing to the results of linear methods such as Minimum Noise Fraction (MNF). The dissertation mainly focuses on using adaptive local spectral models to fur- ther improve the performance of ISOMAP algorithms by addressing local noise issues and perform guided landmark selection and nearest neighborhood construction in local spectral subsets. This work could benefit the …
The Design And Implementation Of Grit-T: Rit's Next-Generation Field-Portable Goniometer System, Justin D. Harms
The Design And Implementation Of Grit-T: Rit's Next-Generation Field-Portable Goniometer System, Justin D. Harms
Theses
Various field portable goniometers have been designed to capture in-situ measurements of a material’s bi-directional reflectance distribution function (BRDF), each with a specific scientific purpose in mind.[1, 2, 3, 4] The Rochester Institute of Technology’s (RIT) Chester F. Carlson Center for Imaging Science recently created a novel instrument incorporating a wide variety of features into one compact apparatus in order to obtain very high accuracy BRDFs of short vegetation and sediments, even in undesirable conditions and austere environments. This next generation system integrates a dual-view design using two VNIR/SWIR spectroradiometers to capture target reflected radiance, as well as incoming radiance, …
An Evaluation Of The Silicon Spectral Range For Determination Of Nutrient Content Of Grape Vines, Grant W.F. Anderson
An Evaluation Of The Silicon Spectral Range For Determination Of Nutrient Content Of Grape Vines, Grant W.F. Anderson
Theses
The grape industry relies on in situ crop assessment to aid in the day-to-day and seasonal management of their crop. In the case of soil-plant chemistry interactions, there are six key nutrients of interest to viticulturists in the growing of wine grapes: nitrogen, potassium, phosphorous, magnesium, zinc, and boron. Traditional methods of determining the levels of these nutrients are through collection and chemical analysis of petiole samples from the grape vines themselves. In this study, however, we collected ground-level observations of the spectra of the grape vines using a hyperspectral spectroradiometer (0.4-2.5µm range; 1nm resampled spectral interval) at the same …
Real-Time Aerial Vehicle Detection And Tracking Using A Multi-Modal Optical Sensor, Burak Uzkent
Real-Time Aerial Vehicle Detection And Tracking Using A Multi-Modal Optical Sensor, Burak Uzkent
Theses
Vehicle tracking from an aerial platform poses a number of unique challenges including the small number of pixels representing a vehicle, large camera motion, and parallax error. For these reasons, it is accepted to be a more challenging task than traditional object tracking and it is generally tackled through a number of different sensor modalities. Recently, the Wide Area Motion Imagery sensor platform has received reasonable attention as it can provide higher resolution single band imagery in addition to its large area coverage. However, still, richer sensory information is required to persistently track vehicles or more research on the application …