Name
Title | ||
|---|---|---|
Superpixel-Based Active Learning and Online Feature Importance Learning for Hyperspectral Image Analysis. |
Abstract | ||
|---|---|---|
The rapid development of multichannel optical imaging sensors has led to increased utilization of hyperspectral data for remote sensing. For classification of hyperspectral data, an informative training set is necessary for ensuring robust performance. However, in remote sensing and other image analysis applications, labeled samples are often difficult, expensive, and time-consuming to obtain. Thi... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JSTARS.2016.2609404 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Feature extraction,Hyperspectral imaging,Image segmentation,Shape,Image analysis | Convergence (routing),Remote sensing,Image segmentation,Artificial intelligence,Land cover,Training set,Computer vision,Active learning,Pattern recognition,Feature extraction,Hyperspectral imaging,Optical imaging,Mathematics | Journal |
Volume | Issue | ISSN |
10 | 1 | 1939-1404 |
Citations | PageRank | References |
7 | 0.43 | 28 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jielian Guo | 1 | 7 | 0.43 |
| Xiong Zhou | 2 | 12 | 4.56 |
| Jun Li | 3 | 1360 | 97.59 |
| Antonio Plaza | 4 | 3475 | 262.63 |
| Saurabh Prasad | 5 | 860 | 58.52 |