Results 121 to 130 of about 3,590 (264)

PolSAR Image Classification based on Polarimetric Scattering Coding and Sparse Support Matrix Machine [PDF]

, 2019
Xu Liu, Licheng Jiao, Dan Zhang, Fang Liu   +3 more
openalex   +1 more source

Composite Kernel Method for PolSAR Image Classification Based on Polarimetric-Spatial Information [PDF]

, 2017
Xianyuan Wang, Zongjie Cao, Yao Ding, Jilan Feng   +3 more
openalex   +1 more source

PolSAR Image Classification Via a Multigranularity Hybrid CNN-ViT Model With External Tokens and Cross-Attention

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the development of deep learning technology, the application of convolutional neural network (CNN) and vision transformer (ViT) for polarimetric synthetic aperture radar (PolSAR) image classification has been deepened.
Wenke Wang, Jianlong Wang, Dou Quan, Meijuan Yang, Junding Sun, Bibo Lu   +5 more
doaj   +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

PolSAR Image Classification Based on Multi-Modal Contrastive Fully Convolutional Network

Remote Sensing
Deep neural networks have achieved remarkable results in the field of polarimetric synthetic aperture radar (PolSAR) image classification. However, PolSAR is affected by speckle imaging, resulting in PolSAR images usually containing a large amount of ...
Wenqiang Hua, Yi Wang, Sijia Yang, Xiaomin Jin   +3 more
doaj   +1 more source

Heterogeneous Network-Based Contrastive Learning Method for PolSAR Land Cover Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Polarimetric synthetic aperture radar (PolSAR) image interpretation is widely used in various fields. Recently, deep learning has made significant progress in PolSAR image classification. Supervised learning (SL) requires a large amount of labeled PolSAR
Jianfeng Cai, Yue Ma, Zhixi Feng, Shuyuan Yang, Licheng Jiao   +4 more
doaj   +1 more source

A Novel Multi-Objective Binary Chimp Optimization Algorithm for Optimal Feature Selection: Application of Deep-Learning-Based Approaches for SAR Image Classification. [PDF]

Sensors (Basel), 2023
Sadeghi F, Larijani A, Rostami O, Martín D, Hajirahimi P.   +4 more
europepmc   +1 more source

Scattering feature dimension reduction of multitemporal fully PolSAR image based on Stacked Sparse AutoEncoder

, 2020
Hongping Li, Jiao Guo, Wenting Han, Yanyang LIU, Jifeng Ning   +4 more
openalex   +2 more sources

Nonlinear Projective Dictionary Pair Learning for PolSAR Image Classification

, 2021
Yanqiao Chen, Lingling Li, Licheng Jiao, Yangyang Li, Xu Liu, Xinghua Chai   +5 more
openalex   +1 more source

POLSAR IMAGE CLASSIFICATION USING DIFFERENT CODIFICATIONS BASED ON FISHER VECTORS [PDF]

, 2020
J. A. Redolfi, R. G. Araguás, Ana Georgina Flesia   +2 more
openalex   +1 more source