A Machine learning approach for Object Parameter Estimation Using Hyperspectral Data

Опубликовано: 06 Ноябрь 2018
на канале: GEO University

125

Spectroscopy, Spectral Discrimination and Genetic Algorithms
So, what is object parameter estimation using spectral data, i.e. spectroscopy? What is spectral discrimination? Do they have something in common? Can a machine learning approach help to tackle both problem?

This textbook course answers all these questions and more! The textbook book course presents not only the basic theoretical principles of spectroscopy, spectral matching, labeling and discrimination, but also a new novel method, the k-step methodology, that automates the entire process. Both for object parameter estimation and spectral discrimination!

A machine learning approach is incorporated to achieve the full automation; the simple genetic algorithm.

For all these topics, extensive measurements were collected and experiments were performed in order to prove the concept.

Spectral measurements of different varieties of plants (vetch and lentil) were used to showcase the subtle spectral discrimination concept.

Regarding the parameter estimation, soil spectral measurements were taken along with chemical analysis to quantify the soil organic matter.

https://www.geo.university/courses/a-...

На этой странице сайта вы можете посмотреть видео онлайн A Machine learning approach for Object Parameter Estimation Using Hyperspectral Data длительностью часов минут секунд в хорошем качестве, которое загрузил пользователь GEO University 06 Ноябрь 2018, поделитесь ссылкой с друзьями и знакомыми, на youtube это видео уже посмотрели 125 раз и оно понравилось 2 зрителям. Приятного просмотра!