Name
Title | ||
|---|---|---|
A Feature Aggregation Convolutional Neural Network for Remote Sensing Scene Classification. |
Abstract | ||
|---|---|---|
Remote sensing scene classification (RSSC) refers to inferring semantic labels based on the content of the remote sensing scenes. Recently, most works take the pretrained convolutional neural network (CNN) as the feature extractor to build a scene representation for RSSC. The activations in different layers of CNN (named intermediate features) contain different spatial and semantic information. Re... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TGRS.2019.2917161 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Feature extraction,Remote sensing,Semantics,Encoding,Convolutional codes,Databases,Aggregates | Convolutional code,Convolutional neural network,Remote sensing,Feature extraction,Feature aggregation,Classifier (linguistics),Semantics,Feature learning,Mathematics,Encoding (memory) | Journal |
Volume | Issue | ISSN |
57 | 10 | 0196-2892 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoqiang Lu | 1 | 1191 | 74.48 |
| Hao Sun | 2 | 3 | 1.05 |
| Xiangtao Zheng | 3 | 215 | 12.10 |