| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6949282 | ISPRS Journal of Photogrammetry and Remote Sensing | 2016 | 11 Pages |
Abstract
To assess how shadow removal can enhance unsupervised classifications, results obtained with classical methods such as k-means, maximum likelihood, and self-organizing maps, have been compared to each other and with a supervised clustering procedure.
Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
Authors
A. Movia, A. Beinat, F. Crosilla,
