Name
Title | ||
|---|---|---|
Remote Sensing Image Translation via Style-Based Recalibration Module and Improved Style Discriminator |
Abstract | ||
|---|---|---|
Existing remote sensing change detection methods are heavily affected by seasonal variation. Since vegetation colors are different between winter and summer, such variations are inclined to be falsely detected as changes. In this letter, we proposed an image translation method to solve the problem. A style-based recalibration module is introduced to capture seasonal features effectively. Then, a new style discriminator is designed to improve the translation performance. The discriminator can not only produce a decision for the fake or real sample but also return a style vector according to the channel-wise correlations. Extensive experiments are conducted on the season-varying data set. The experimental results show that the proposed method can effectively perform image translation, thereby consistently improving the season-varying image change detection performance. Our codes and data are available at https://github.com/summitgao/RSIT_SRM_ISD. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/LGRS.2021.3068558 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS |
Keywords | DocType | Volume |
Gallium nitride, Generators, Remote sensing, Generative adversarial networks, Feature extraction, Correlation, Vegetation mapping, Change detection, GAN, image-to-image translation, remote sensing | Journal | 19 |
ISSN | Citations | PageRank |
1545-598X | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tiange Zhang | 1 | 0 | 2.37 |
| Feng Gao | 2 | 30 | 7.31 |
| Junyu Dong | 3 | 393 | 77.68 |
| Qian Du | 4 | 9 | 17.04 |