Name
Title | ||
|---|---|---|
Adaptive Deep Sparse Semantic Modeling Framework for High Spatial Resolution Image Scene Classification. |
Abstract | ||
|---|---|---|
High spatial resolution (HSR) imagery scene classification, which involves labeling an HSR image with a specific semantic class according to the geographical properties, has received increased attention, and many algorithms have been proposed for this task. The employment of the probabilistic topic model to acquire latent topics and the convolutional neural networks (CNNs) to capture deep features... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TGRS.2018.2833293 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Feature extraction,Semantics,Visualization,Adaptation models,Probabilistic logic,Remote sensing,Encoding | Computer vision,Pattern recognition,Convolutional neural network,Semantic gap,Feature extraction,Artificial intelligence,Probabilistic logic,Topic model,Contextual image classification,Discriminative model,Semantics,Mathematics | Journal |
Volume | Issue | ISSN |
56 | 10 | 0196-2892 |
Citations | PageRank | References |
3 | 0.37 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiqi Zhu | 1 | 29 | 3.55 |
| Yanfei Zhong | 2 | 1044 | 90.58 |
| Liangpei Zhang | 3 | 5448 | 307.02 |
| Deren Li | 4 | 620 | 74.26 |