MULTI-LABEL CLASSIFICATION FOR DRILL-CORE HYPERSPECTRAL MINERAL MAPPING
A multi-label classification concept is introduced for the mineral mapping task in drill-core hyperspectral data analysis. As opposed to traditional classification methods, this approach has the advantage of considering the different mineral mixtures present in each pixel. For the multi-label classi...
Main Authors: | I. C. Contreras, M. Khodadadzadeh, R. Gloaguen |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2020-08-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2020/383/2020/isprs-archives-XLIII-B3-2020-383-2020.pdf |
Similar Items
-
Resolution Enhancement for Drill-Core Hyperspectral Mineral Mapping
by: Isabel Cecilia Contreras Acosta, et al.
Published: (2021-06-01) -
Drill-Core Mineral Abundance Estimation Using Hyperspectral and High-Resolution Mineralogical Data
by: Laura Tuşa, et al.
Published: (2020-04-01) -
Drill-Core Hyperspectral and Geochemical Data Integration in a Superpixel-Based Machine Learning Framework
by: Isabel Cecilia Contreras Acosta, et al.
Published: (2020-01-01) -
Automated Multi-Scale and Multivariate Geological Logging from Drill-Core Hyperspectral Data
by: Roberto De La Rosa, et al.
Published: (2022-06-01) -
A Supervised Method for Nonlinear Hyperspectral Unmixing
by: Bikram Koirala, et al.
Published: (2019-10-01)