Loading...
Please wait, while we are loading the content...
Similar Documents
Attention-Guided Multispectral and Panchromatic Image Classification
| Content Provider | MDPI |
|---|---|
| Author | Shi, Cheng Dang, Yenan Fang, Li Lv, Zhiyong Shen, Huifang |
| Copyright Year | 2021 |
| Description | Multi-sensor image can provide supplementary information, usually leading to better performance in classification tasks. However, the general deep neural network-based multi-sensor classification method learns each sensor image separately, followed by a stacked concentrate for feature fusion. This way requires a large time cost for network training, and insufficient feature fusion may cause. Considering efficient multi-sensor feature extraction and fusion with a lightweight network, this paper proposes an attention-guided classification method (AGCNet), especially for multispectral (MS) and panchromatic (PAN) image classification. In the proposed method, a share-split network (SSNet) including a shared branch and multiple split branches performs feature extraction for each sensor image, where the shared branch learns basis features of MS and PAN images with fewer learn-able parameters, and the split branch extracts the privileged features of each sensor image via multiple task-specific attention units. Furthermore, a selective classification network (SCNet) with a selective kernel unit is used for adaptive feature fusion. The proposed AGCNet can be trained by an end-to-end fashion without manual intervention. The experimental results are reported on four MS and PAN datasets, and compared with state-of-the-art methods. The classification maps and accuracies show the superiority of the proposed AGCNet model. |
| Starting Page | 4823 |
| e-ISSN | 20724292 |
| DOI | 10.3390/rs13234823 |
| Journal | Remote Sensing |
| Issue Number | 23 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-11-27 |
| Access Restriction | Open |
| Subject Keyword | Remote Sensing Artificial Intelligence Multi-sensor Classification Attention Mechanism Deep Neural Network Multispectral and Panchromatic Image |
| Content Type | Text |
| Resource Type | Article |
