Name
Title | ||
|---|---|---|
MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification. |
Abstract | ||
|---|---|---|
With the development of deep learning, supervised learning has frequently been adopted to classify remotely sensed images using convolutional networks. However, due to the limited amount of labeled data available, supervised learning is often difficult to carry out. Therefore, we proposed an unsupervised model called multiple-layer feature-matching generative adversarial networks (MARTA GANs) to l... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LGRS.2017.2752750 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Generators,Gallium nitride,Training,Remote sensing,Feature extraction,Training data,Computational modeling | Computer science,Remote sensing,Artificial intelligence,Deep learning,Contextual image classification,Discriminative model,Computer vision,Pattern recognition,Feature extraction,Supervised learning,Generative grammar,Feature learning,Machine learning,Generative model | Journal |
Volume | Issue | ISSN |
14 | 11 | 1545-598X |
Citations | PageRank | References |
12 | 0.71 | 17 |
Authors | ||
5 | ||