Name
Title | ||
|---|---|---|
Relative Radiometric Correction On Remotely Sensed Data For Land Cover Change Detection: An Unsupervised Clustering Approach |
Abstract | ||
|---|---|---|
This paper proposes an automated radiometric normalization process that uses an unsupervised clustering to adjust a cluster-by-cluster mapping to minimize the effects of the influences of radiometric differences on image interpretation and classification. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/IGARSS.2003.1293896 | IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES |
Keywords | DocType | Citations |
relative radiometric correction, change detection, fuzzy clusterirng | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Luiza F. Velloso | 1 | 12 | 5.93 |
| De Souza, F.J. | 2 | 1 | 1.03 |
| Nival N. Almeida | 3 | 1 | 1.38 |