Distance measures of polarimetric SAR image data: A survey
Distance measure plays a critical role in various applications of polarimetric synthetic
aperture radar (PolSAR) image data. In recent decades, plenty of distance measures have …
aperture radar (PolSAR) image data. In recent decades, plenty of distance measures have …
Semi-supervised deep metric learning networks for classification of polarimetric SAR data
Recently, classification methods based on deep learning have attained sound results for the
classification of Polarimetric synthetic aperture radar (PolSAR) data. However, they …
classification of Polarimetric synthetic aperture radar (PolSAR) data. However, they …
Composite kernel method for PolSAR image classification based on polarimetric-spatial information
X Wang, Z Cao, Y Ding, J Feng - Applied Sciences, 2017 - mdpi.com
The composite kernel feature fusion proposed in this paper attempts to solve the problem of
classifying polarimetric synthetic aperture radar (PolSAR) images. Here, PolSAR images …
classifying polarimetric synthetic aperture radar (PolSAR) images. Here, PolSAR images …
[PDF][PDF] 极化合成孔径雷达图像相干斑抑制和分类方法综述
聂祥丽， 黄夏渊， 张波， 乔红 - 自动化学报, 2019 - aas.net.cn
摘要极化合成孔径雷达(Polarimetric synthetic aperture radar, PolSAR) 是一种多参数,
多通道的微波成像系统, 在农林业, 地质, 海洋和军事等领域有着广泛的应用前景. PolSAR …
多通道的微波成像系统, 在农林业, 地质, 海洋和军事等领域有着广泛的应用前景. PolSAR …
Polarimetric-spatial classification of PolSAR images based on composite kernel feature fusion
X Wang, J Feng, Z Cao, R Min - 2017 IEEE Radar Conference …, 2017 - ieeexplore.ieee.org
Composite kernel feature fusion is proposed in this paper for solving the classification of
polarimetric synthetic aperture radar (PolSAR) images problem. The main idea is that the …
polarimetric synthetic aperture radar (PolSAR) images problem. The main idea is that the …