Name
Title | ||
|---|---|---|
Scene Classification Based on the Sparse Homogeneous-Heterogeneous Topic Feature Model. |
Abstract | ||
|---|---|---|
High spatial resolution (HSR) imagery scene classification has been the subject of increased interest in recent years, and has great potential for many applications, such as urban functional analysis. Rooted in natural information processing, the use of the probabilistic topic model (PTM) to capture latent topics to represent HSR images has been an effective way to bridge the semantic gap. However... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TGRS.2017.2781712 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Feature extraction,Visualization,Semantics,Roads,Remote sensing,Image segmentation,Training | Computer vision,Automatic image annotation,Pattern recognition,Semantic gap,Image segmentation,Feature extraction,Artificial intelligence,Topic model,Contextual image classification,Cluster analysis,Discriminative model,Mathematics | Journal |
Volume | Issue | ISSN |
56 | 5 | 0196-2892 |
Citations | PageRank | References |
4 | 0.39 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiqi Zhu | 1 | 29 | 3.55 |
| Yanfei Zhong | 2 | 1044 | 90.58 |
| Siqi Wu | 3 | 19 | 8.73 |
| Liangpei Zhang | 4 | 5448 | 307.02 |
| Deren Li | 5 | 620 | 74.26 |