Name
Title | ||
|---|---|---|
Transferring Ground Level Image Annotations To Aerial And Satellite Scenes By Discriminative Subspace Alignment |
Abstract | ||
|---|---|---|
This paper aims to address the problem of unsupervised scene model adaptation for transferring semantic labels from ground level images to aerial and satellite scenes. Specifically, we present a novel unsupervised domain adaptation algorithm based on subspace alignment. The core idea is to reduce the feature distribution discrepancy between ground view images and overhead view remote sensing images in a latent discriminative subspace. We first generate pseudo-labels for the remote sensing data by applying spectral clustering to a cross-domain similarity matrix, which is built from sparse coefficients found in a low-dimensional latent space. This coarse alignment between the two views exploits the assumption that the collection of data of different classes from both domains can be viewed as samples from a union of low-dimensional subspaces. Then, we create discriminative subspaces for both domains using partial least squares correlation. Finally, a mapping which aligns the discriminative source subspace into the target one is learned by minimizing a Bregman matrix divergence function. Experimental results on aerial-to-satellite, ground-to-aerial and ground-to-satellite scene image data sets demonstrate that the proposed method outperforms the baselines and several state-of-the-art competing methods. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7729592 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Keywords | Field | DocType |
Remote sensing image classification, semantic transfer, unsupervised visual domain adaptation, partial least square correlation, discriminative subspace alignment | Spectral clustering,Data set,Matrix (mathematics),Computer science,Partial least squares regression,Remote sensing,Artificial intelligence,Discriminative model,Computer vision,Subspace topology,Pattern recognition,Linear subspace,Semantics | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
15 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hao Sun | 1 | 56 | 7.07 |
| Zhipeng Deng | 2 | 4 | 1.74 |
| Shuai Liu | 3 | 0 | 0.34 |
| Shilin Zhou | 4 | 72 | 13.94 |