Name
Abstract | ||
|---|---|---|
Unsupervised land-use/cover classification is of great interest, since it becomes even more difficult to obtain high-quality labeled data. Still considered one of the most used clustering techniques, the well-known k-means plays an important role in the pattern recognition community. Its simple formulation and good results in a number of applications have fostered the development of new variants a... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/JSTARS.2016.2557584 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Optimization,Remote sensing,Context,Clustering algorithms,Algorithm design and analysis,Genetic programming,Measurement | Data mining,k-means clustering,Radar imaging,Algorithm design,Genetic programming,Artificial intelligence,Cluster analysis,Land cover,Centroid,Mathematics,Machine learning,Metaheuristic | Journal |
Volume | Issue | ISSN |
9 | 6 | 1939-1404 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| João Paulo Papa | 1 | 278 | 44.60 |
| luciene patrici papa | 2 | 10 | 2.61 |
| Danillo Roberto Pereira | 3 | 39 | 8.61 |
| Rodrigo Jose Pisani | 4 | 0 | 0.34 |