A Computational Method for Identifying Asbestos-Cement in Hyperspectral Images Using Non-Parametric Gaussian Regression
Gabriel Elías Chanchí Golondrino · Manuel Alejandro Ospina Alarcón · Manuel Saba
One of the challenges in the field of hyperspectral imaging, due to the high dimensionality of the data, is the need for efficient and computationally effective methods for material detection. As a contribution to this problem, this paper proposes a new computational method for the detection of asbestos-cement, based o...
- Universidad EIA
- DOI: 10.24050/reia.v23i46.1887