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Rochester Institute of Technology

Theses/Dissertations

2016

Remote sensing

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Radiometrically Accurate Thermal Vehicle Targets For Synthetic Video Development, David B. Rhodes Dec 2016

Radiometrically Accurate Thermal Vehicle Targets For Synthetic Video Development, David B. Rhodes

Theses

Collecting large scientific quality thermal infrared image and video data sets is an expensive time consuming endeavor. Thermal infrared imagers cost much more than comparable visible systems and require skilled experienced operators. Also, time and experienced personnel are required to collect quality ground truth. Often it is advantageous to perform computer simulations as an alternative to collecting image and video data with real camera systems. As long as enough physics is incorporated into the models to give accurately comparable results to real imagery, simulated data can be used interchangeably. Generating synthetic images and video has the added benefit of being …


Schroedinger Eigenmaps For Manifold Alignment Of Multimodal Hyperspectral Images, Juan Emmanuel Johnson Oct 2016

Schroedinger Eigenmaps For Manifold Alignment Of Multimodal Hyperspectral Images, Juan Emmanuel Johnson

Theses

Multimodal remote sensing is an upcoming field as it allows for many views of the same region of interest. Domain adaption attempts to fuse these multimodal remotely sensed images by utilizing the concept of transfer learning to understand data from different sources to learn a fused outcome. Semisupervised Manifold Alignment (SSMA) maps multiple Hyperspectral images (HSIs) from high dimensional source spaces to a low dimensional latent space where similar elements reside closely together. SSMA preserves the original geometric structure of respective HSIs whilst pulling similar data points together and pushing dissimilar data points apart. The SSMA algorithm is comprised of …


An Evaluation Of The Silicon Spectral Range For Determination Of Nutrient Content Of Grape Vines, Grant W.F. Anderson Jul 2016

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 …