Imaging Science Seminar: Maria C. Torres-Madronero
Imaging Science Seminar
Spectrometry and Imagery: data processing and applications
Maria C. Torres-Madronero, Ph.D.
Associate Professor, System Information Department
Instituto Tecnologico Metropolitano (Medellin, Colombia)
This lecture presents applications of spectral data processing based on unmixing and classification for: (i) the discrimination of vegetation types in hyperspectral imagery collected for satellite and airborne systems, (ii) the monitoring and follow-up of skin ulcer treatments using spectrometry and close-range imagery, and (iii) the detection of abiotic stress in corn and bean crops using spectral signatures and imagery.
Abstract: Spectral data includes signatures collected with spectrometers and imagery captured with multispectral and hyperspectral sensors. These spectral systems measure the energy reflected or emitted by an object along the electromagnetic spectrum. In addition to spectral information, imaging systems also capture spatial data enabling object-based image analysis. Spectral signatures and imagery can be used to solve problems in a wide range of applications, such as earth observation, health, and precision agriculture. This lecture presents applications of spectral data processing based on unmixing and classification for: (i) the discrimination of vegetation types in hyperspectral imagery collected for satellite and airborne systems, (ii) the monitoring and follow-up of skin ulcer treatments using spectrometry and close-range imagery, and (iii) the detection of abiotic stress in corn and bean crops using spectral signatures and imagery. Current challenges and future opportunities of these technologies are identified.
Speaker Bio: Maria C. Torres-Madronero has a B.S. degree in Electronic Engineering from the Universidad Nacional de Colombia (2001), an M.E. degree in Electrical Engineering (2009), and a Ph.D. in Computing and Information Science and Engineering (2013), both from the University of Puerto Rico at Mayaguez (UPRM). She is an associate professor in the System Information Department at the Instituto Tecnologico Metropolitano (Medellin, Colombia) and a researcher on the Laboratory MIRP. Her teaching and research interests include machine learning, computer vision, and remote sensing. She has more than ten articles published in high-impact international journals in the last five years, in addition to other publications on proceedings and conferences. She has advised more than nine master theses and currently supervises three doctoral students and five master students.
Intended Audience: Undergraduates, graduates, and experts. Those with interest in the topic.
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