Classification of Large-Scale High-Resolution SAR Images with Deep Transfer Learning

1 code implementation • 6 Jan 2020 • Zhongling Huang, Corneliu Octavian Dumitru, Zongxu Pan, Bin Lei, Mihai Datcu

The classification of large-scale high-resolution SAR land cover images acquired by satellites is a challenging task, facing several difficulties such as semantic annotation with expertise, changing data characteristics due to varying imaging parameters or regional target area differences, and complex scattering mechanisms being different from optical imaging.

General Classification Transfer Learning +1

What, Where and How to Transfer in SAR Target Recognition Based on Deep CNNs

1 code implementation • 4 Jun 2019 • Zhongling Huang, Zongxu Pan, Bin Lei

Based on the analysis, a transitive transfer method via multi-source data with domain adaptation is proposed in this paper to decrease the discrepancy between the source data and SAR targets.

Domain Adaptation Transfer Learning

Learning a Rotation Invariant Detector with Rotatable Bounding Box

4 code implementations • 26 Nov 2017 • Lei Liu, Zongxu Pan, Bin Lei

The existing methods are not robust to angle varies of the objects because of the use of traditional bounding box, which is a rotation variant structure for locating rotated objects.