Name
Title | ||
|---|---|---|
A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images. |
Abstract | ||
|---|---|---|
We propose an unsupervised deep convolutional coupling network for change detection based on two heterogeneous images acquired by optical sensors and radars on different dates. Most existing change detection methods are based on homogeneous images. Due to the complementary properties of optical and radar sensors, there is an increasing interest in change detection based on heterogeneous images. Th... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TNNLS.2016.2636227 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Optical sensors,Optical imaging,Feature extraction,Neural networks,Couplings,Laser radar | Change detection,Coupling,Computer science,Lidar,Artificial intelligence,Artificial neural network,Radar,Computer vision,Feature vector,Radar imaging,Pattern recognition,Feature extraction,Machine learning | Journal |
Volume | Issue | ISSN |
29 | 3 | 2162-237X |
Citations | PageRank | References |
23 | 0.80 | 22 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jia Liu | 1 | 92 | 15.15 |
| Maoguo Gong | 2 | 2676 | 172.02 |
| A. K. Qin | 3 | 3496 | 146.50 |
| Puzhao Zhang | 4 | 65 | 4.55 |