Name
Title | ||
|---|---|---|
Hyperspectral Image Analysis by Spectral-Spatial Processing and Anticipative Hybrid Extreme Rotation Forest Classification. |
Abstract | ||
|---|---|---|
Recent classification-oriented proposals to thematic maps building from hyperspectral images have used both semisupervised approaches and spatial information for correction of spectral classification. Semisupervised approaches enrich the training data set adding similar samples to each class, whereas spatial correction is based on the natural assumption of thematic class spatial compactness. In th... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TGRS.2015.2503886 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Training,Computer architecture,Hyperspectral imaging,Training data,Pipelines,Kernel | Spatial analysis,Data domain,Remote sensing,Artificial intelligence,Cluster analysis,Classifier (linguistics),Ensemble learning,Computer vision,Pattern recognition,Model selection,Hyperspectral imaging,Ground truth,Mathematics | Journal |
Volume | Issue | ISSN |
54 | 5 | 0196-2892 |
Citations | PageRank | References |
3 | 0.38 | 48 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Borja Ayerdi | 1 | 83 | 6.49 |
| Manuel Graña Romay | 2 | 411 | 157.98 |