Name
Abstract | ||
|---|---|---|
In this paper, we consider the problem of remote sensing image classification, in which feature extraction and feature coding are critical steps. Various feature extraction methods aim at an abstract and discriminative image representation. Most of them are either theoretically too complex or practically infeasible to compute for large datasets. Motivated by this observation, we propose a simple y... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/JSTARS.2015.2495267 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Feature extraction,Dictionaries,Histograms,Accuracy,Image classification,Unsupervised learning | Dimensionality reduction,Feature detection (computer vision),Computer science,Remote sensing,Artificial intelligence,Kanade–Lucas–Tomasi feature tracker,Computer vision,Feature vector,Pattern recognition,Feature (computer vision),Feature extraction,Linear classifier,Feature learning | Journal |
Volume | Issue | ISSN |
8 | 11 | 1939-1404 |
Citations | PageRank | References |
3 | 0.40 | 28 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shiyong Cui | 1 | 103 | 11.54 |
| Gottfried Schwarz | 2 | 45 | 9.63 |
| Mihai Datcu | 3 | 893 | 111.62 |