PolSAR Image Classification by Introducing POA and HA Variances
Z Lan, Y Liu, J He, X Hu - Remote Sensing, 2023 - mdpi.com
A polarimetric synthetic aperture radar (PolSAR) has great potential in ground target
classification. However, current methods experience difficulties in separating forests and …
classification. However, current methods experience difficulties in separating forests and …
Research on a multiscale U-Net lung nodule segmentation model based on edge perception and 3D attention mechanism improvement
M Hui, L Yuqin, H Tianjiao, L Yihua - IEEE Access, 2024 - ieeexplore.ieee.org
Lung nodule semantic segmentation using deep learning has achieved good results.
However, problems such as information loss on lesion edges, boundary segmentation …
However, problems such as information loss on lesion edges, boundary segmentation …
SAR Change Detection Algorithm Combined with FFDNet Spatial Denoising
Y Wu, Q Xu, Z Zhang, J Ma… - … of Environmental & …, 2023 - journals.bilpubgroup.com
Objectives: When detecting changes in synthetic aperture radar (SAR) images, the quality of
the difference map has an important impact on the detection results, and the speckle noise …
the difference map has an important impact on the detection results, and the speckle noise …