Results 121 to 130 of about 2,397 (207)

Geometry-Aware Discriminative Dictionary Learning for PolSAR Image Classification [PDF]

, 2021
Yachao Zhang, Xuan Lai, Yuan Xie, Yanyun Qu, Cuihua Li   +4 more
openalex   +1 more source

A Deep Similarity Clustering Network With Compound Regularization for Unsupervised PolSAR Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Polarimetric synthetic aperture radar (PolSAR) image classification is a critical application of remote sensing image interpretation. Most of the early algorithms that use hand-crafted features to divide the image into various scattering categories have ...
Yixin Zuo, Guangzuo Li, Wenjuan Ren, Yuxin Hu   +3 more
doaj   +1 more source

Blind Source Separation in Polarimetric SAR Interferometry

, 2016
International audiencePolarimetric incoherent target decomposition aims in access-ing physical parameters of illuminated scatters through the analysis of target coherence or covariance matrix.
Pralon, Leandro, Vasile, Gabriel
core   +1 more source

Amplitude-Driven-Adaptive-Neighbourhood Filtering of High-Resolution Pol-InSAR Information [PDF]

, 2005
International audienceIn this paper a new method for fltering coherency matrices issued from Synthetic Aperture Radar (SAR) polarimetric interferometric data is presented.
Gay, Michel, Nicolas, Jean-Marie, Trouvé, Emmanuel, Vasile, Gabriel   +3 more
core   +1 more source

Feature Fusion Method Based on Local Binary Graph for Polsar Image Classification

, 2022
Mohsen Darvishnezhad, Mohammad Ali Sebt
openalex   +1 more source

Multiobjective Evolutionary Superpixel Segmentation for PolSAR Image Classification

Remote Sensing
Superpixel segmentation has been widely used in the field of computer vision. The generations of PolSAR superpixels have also been widely studied for their feasibility and high efficiency. The initial numbers of PolSAR superpixels are usually designed manually by experience, which has a significant impact on the final performance of superpixel ...
Boce Chu, Mengxuan Zhang, Kun Ma, Long Liu, Junwei Wan, Jinyong Chen, Jie Chen, Hongcheng Zeng   +7 more
openaire   +2 more sources

Superpixel-Based Hybrid Discriminative Random Field for Fast PolSAR Image Classification [PDF]

, 2019
Wanying Song, Ming Li, Peng Zhang, Yan Wu, Xiaofeng Tan   +4 more
openalex   +1 more source

BSDSNet: Dual-Stream Feature Extraction Network Based on Segment Anything Model for Synthetic Aperture Radar Land Cover Classification

Remote Sensing
Land cover classification using high-resolution Polarimetric Synthetic Aperture Radar (PolSAR) images obtained from satellites is a challenging task. While deep learning algorithms have been extensively studied for PolSAR image land cover classification,
Yangyang Wang, Wengang Zhang, Weidong Chen, Chang Chen   +3 more
doaj   +1 more source

KummerU clutter model for PolSAR data: Application to segmentation and classification

, 2010
International audienceIn this paper, Spherically Invariant Random Vectors (SIRV) are introduced to describe the heterogeneity of the Polarimetric Synthetic Aperture Radar (PolSAR) clutter.
Bombrun, Lionel, Gay, Michel, Ovarlez, Jean-Philippe, Pascal, Frédéric, Vasile, Gabriel   +4 more
core   +1 more source

MCDiff: A Multilevel Conditional Diffusion Model for PolSAR Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the swift advancement of deep learning, significant strides have been made in polarimetric synthetic aperture radar (PolSAR) image classification, particularly with the advent of diffusion models that allow for explicit class probability modeling ...
Qingyi Zhang, Xiaoxiao Fang, Tao Liu, Ronghua Wu, Liguo Liu, Chu He   +5 more
doaj   +1 more source