Results 91 to 100 of about 13,122,784 (192)

Robust Classification of PolSAR Images Based on Pinball loss Support Vector Machine

Leida xuebao, 2019
Given the problems that the amount of supervised information in the Polarimetric Synthetic Aperture Radar (PolSAR) image is low and the speckle noise is difficult to eliminate, in this study, a robust classification algorithm for PolSAR image based on ...
ZHANG Lamei, ZHANG Siyu, DONG Hongwei, ZHU Sha   +3 more
doaj   +1 more source

Covariance Symmetries Classification in Multitemporal/Multipass PolSAR Images

IEEE Transactions on Geoscience and Remote Sensing
A polarimetric synthetic aperture radar (PolSAR) system, which uses multiple images acquired with different polarizations in both transmission and reception, has the potential to improve the description and interpretation of the observed scene. This is typically achieved by exploiting the polarimetric covariance or coherence matrix associated with each
Dehbia Hanis, Luca Pallotta, Augusto Aubry, Aichouche Belhadj Aissa, Antonio De Maio   +4 more
openaire   +3 more sources

Multiview Manifold Evidential Fusion for PolSAR Image Classification

CoRR
The paper has 14 pages and 7 ...
Junfei Shi, Haojia Zhang, Haiyan Jin, Junhuai Li, Xiaogang Song, Yuanfan Guo, Haonan Su, Weisi Lin   +7 more
openaire   +2 more sources

A Dense Bootstrap Contrastive Learning Method With 3-D Dynamic Convolution for Few-Shot PolSAR Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
High-quality labeled samples of polarimetric synthetic aperture radar (PolSAR) images are relatively scarce. Therefore, achieving optimal classification performance with limited labeled samples has become a significant challenge in PolSAR image ...
Nana Jiang, Wenbo Zhao, Jiao Guo, Xiuya Dong, Jubo Zhu   +4 more
doaj   +1 more source

Superpixel-Based Classification Using K Distribution and Spatial Context for Polarimetric SAR Images

Remote Sensing, 2016
Classification techniques play an important role in the analysis of polarimetric synthetic aperture radar (PolSAR) images. PolSAR image classification is widely used in the fields of information extraction and scene interpretation or is performed as a ...
Qiao Xu, Qihao Chen, Shuai Yang, Xiuguo Liu   +3 more
doaj   +1 more source

Sparse Subspace Clustering-Based Feature Extraction for PolSAR Imagery Classification

, 2018
Features play an important role in the learning technologies and pattern recognition methods for polarimetric synthetic aperture (PolSAR) image interpretation.
Bo Ren, Jin Zhao, Licheng Jiao, Biao Hou
core   +1 more source

HIGH RESOLUTION POLSAR IMAGE CLASSIFICATION BASED ON GENETIC ALGORITHM AND SUPPORT VECTOR MACHINE [PDF]

, 2013
This paper focuses on backscattering mechanisms selection and supervised classification works for CETC38-X PolSAR image. Thanks to the high radar resolution, many classes of man-made objects are visible in the images.
P. X. Li, W. Jiang, J. Yang, F. K. Lang, L. Shi, W. D. Sun   +5 more
core   +1 more source

A Deep Learning Classification Scheme for PolSAR Image Based on Polarimetric Features

Polarimetric features extracted from polarimetric synthetic aperture radar (PolSAR) images contain abundant back-scattering information about objects.
Lizhen Cui, Shuaiying Zhang, Zhen Dong, Wentao An   +3 more
core   +1 more source

Auto Encoder Feature Learning with Utilization of Local Spatial Information and Data Distribution for Classification of PolSAR Image

, 2019
The distribution of data plays a key role in the designing of a machine learning model. Therefore, this paper proposes a novel auto encoder network based on the distribution of polarimetric synthetic aperture radar (PolSAR) data matrix.
Shuang Wang, Licheng Jiao, Jianlong Wang, Biao Hou   +3 more
core   +1 more source

Semi-Supervised Classification of PolSAR Images Based on Co-Training of CNN and SVM with Limited Labeled Samples. [PDF]

Sensors (Basel), 2023
Zhao M, Cheng Y, Qin X, Yu W, Wang P.
europepmc   +1 more source