Browsing Theses (MU) by Thesis Advisor "Zare, Alina"
Now showing items 1-9 of 9
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Accounting for spectral variability in hyperspectral unmixing using beta endmember distributions
(University of Missouri--Columbia, 2013)Hyperspectral imaging is widely used in the field of remote sensing (Goetz, et al., 1985; Green, et al., 1998). In a hyperspectral imaging system, sensors collect radiance/reflectance values over an area (or a scene) across ... -
Hyperspectral unmixing and band weighting for multiple endmember sets
(University of Missouri--Columbia, 2014)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Imaging spectrometers measure the response from materials across the electromagnetic spectrum. Often, in remote sensing applications, the imaging ... -
Landmine classification using possibilistic K-nearest neighbors with wideband electromagnetic induction data
(University of Missouri--Columbia, 2012)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] In this thesis, a possibilistic K-nearest neighbor classifier is presented to distinguish between and classify mine and non-mine targets on data ... -
Map-guided hyperspectral image superpixel segmentation using semi-supervised partial membership latent Dirichlet allocation
(University of Missouri--Columbia, 2016)Many superpixel segmentation algorithms which are suitable for the regular color images like images with three channels: red, green and blue (RGB images) have been developed in the literature. However, because of the high ... -
Multi-camera high-throughput plant root phenotyping system
(University of Missouri--Columbia, 2016)Plant root phenotyping is a key component in plant breeding and selection for desireable root properties. Preferable root traits can not only help a plant to grow faster but also allow for more dense and deep root system ... -
Semi-supervised interactive unmixing for hyperspectral image analysis
(University of Missouri--Columbia, 2016)In the past several decades, hyperspectral imaging has drawn a lot of attention in the field of remote sensing. Yet, due to low spatial resolutions of hyperspectral imagers, often the response from more than one surface ... -
Task driven extended functions of multiple instances (TD-eFUMI)
(University of Missouri--Columbia, 2015)Dictionary learning techniques have proven to be a powerful method in the pattern recognition literature. Recently supervised dictionary learning has been used to achieve very good results on a number of different data ... -
Three dimensional reconstruction of plant roots via low energy x-ray computed tomography
(University of Missouri--Columbia, 2018)Plant roots are vital organs for water and nutrient uptake. The structure and spatial distribution of plant roots in the soil affects a plant's physiological functions such as soil-based resource acquisition, yield and its ... -
Vehicle detection using morphological shared-weight neural network in the multiple instance learning framework
(University of Missouri--Columbia, 2017)In this thesis, we design and implement an algorithm for object detection in aerial images based on the morphological shared-weight neural network (MSNN). The multiple instance learning (MIL) framework is used to avoid the ...