Earthnets: Empowering ai in earth observation
Z **
Multi-unmanned aerial vehicle (UAV) collaborative 3-D object detection can comprehend
complex environments by integrating complementary information, with applications …
complex environments by integrating complementary information, with applications …
SemiPSCN: Polarization semantic constraint network for semi-supervised segmentation in large-scale and complex-valued PolSAR images
Since polarimetric synthetic aperture radar (PolSAR) terrain segmentation is a dense
prediction task, the disadvantage of inadequate labeled samples greatly limits its …
prediction task, the disadvantage of inadequate labeled samples greatly limits its …
PolSAR Image Classification Based on Multi-Modal Contrastive Fully Convolutional Network
W Hua, Y Wang, S Yang, X ** - Remote Sensing, 2024 - mdpi.com
Deep neural networks have achieved remarkable results in the field of polarimetric synthetic
aperture radar (PolSAR) image classification. However, PolSAR is affected by speckle …
aperture radar (PolSAR) image classification. However, PolSAR is affected by speckle …
[HTML][HTML] Pol-InSAR-Island-A benchmark dataset for multi-frequency Pol-InSAR data land cover classification
Abstract This paper presents Pol-InSAR-Island, the first publicly available multi-frequency
Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR) dataset labeled with …
Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR) dataset labeled with …