Results 41 to 50 of about 11,244,032 (159)

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

PolSAR Scene Classification via Low-Rank Constrained Multimodal Tensor Representation

, 2022
Polarimetric synthetic aperture radar (PolSAR) data can be acquired at all times and are not impacted by weather conditions. They can efficiently capture geometrical and geographical structures on the ground.
Danfeng Hong, Jocelyn Chanussot, Bo Ren, Licheng Jiao, Shibin Ma, Mengqian Chen, Biao Hou   +6 more
core   +1 more source

An Innovative Supervised Classification Algorithm for PolSAR Image Based on Mixture Model and MRF

, 2022
The Wishart mixture model is an effective tool for characterizing the statistical distribution of polarimetric synthetic aperture radar (PolSAR) data. However, due to the difficulty in determining the equivalent number of looks, the Wishart mixture model
Yao Gao, Chunle Wang, Wentao Hou, Xiuqing Liu, Yunkai Deng, Mingliang Liu, Chuanzhao Han   +6 more
core   +1 more source

On the Interpretation of L- and P-Band PolSAR Signatures of Polythermal Glaciers [PDF]

, 2013
Long-wavelength (e.g. P- and L- band) SAR systems can penetrate tens of meters deep into ice bodies. Hence, they are sensitive to the ice surface as well as to sub-surface (volume) ice structures.
Hajnsek, Irena, Parrella, Giuseppe, Papathanassiou, Konstantinos   +2 more
core  

Observation and Coordination Needs for Current, Near‐Future, and Next Generation Earth‐Observing SAR Systems

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract This paper summarizes an evaluation by experts of how coordination of Earth‐observing Synthetic Aperture Radar (SAR) missions among the world's space agencies could advance toward game‐changing scientific discoveries and fully realizing SAR's practical capability to address many issues facing society.
Cathleen E. Jones, Ake Rosenqvist, Björn Rommen, Magdalena Fitrzyk, Eric Rignot, Bernd Scheuchl, Yujie Zheng, Andrew Hooper, Mark Simons, Tomokazu Kobayashi, Paul Siqueira, Maurizio Santoro, Takeo Tadono, Laura Hess, Heather McNairn, Laura Frulla, Malin Johansson, Wolfgang Dierking, Line Rouyet, Annett Bartsch, Paco Lopez Dekker, Johnny A. Johannessen   +21 more
wiley   +1 more source

Adaptive Speckle Filter for Multi-Temporal PolSAR Image with Multi-Dimensional Information Fusion

, 2023
Polarimetric synthetic aperture radar (PolSAR) is an important sensor for earth observation. Multi-temporal PolSAR images obtained by successive observations of the region of interest contain rich polarimetric–temporal–spatial information of ...
Haoliang Li, Xingchao Cui, Mingdian Li, Junwu Deng, Siwei Chen   +4 more
core   +1 more source

Semi-supervised PolSAR Image Change Detection using Similarity Matching [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The lack of precisely labeled data limits the development of supervised polarimetric synthetic aperture radar (PolSAR) image change detection. Therefore, semi-supervised deep learning methods have recently demonstrated their significant capability for ...
L. Wang, L. Peng, H. Hong, S. Zhao, Q. Lv, R. Gui   +5 more
doaj   +1 more source

Interlinked Dynamics of Rice Cultivation Intensity and Ground Subsidence: Spatio‐Temporal Insights Into Water Resource Implications From Multi‐Year Spaceborne SAR Analysis

Water Resources Research, Volume 62, Issue 4, April 2026.
Abstract Sustainable rice cultivation is vital to meet global food demands, particularly in regions relying on groundwater for irrigation. Over‐pumping, however, can cause significant ground subsidence, threatening both infrastructure and agricultural sustainability.
Ya‐Lun S. Tsai, Xun‐Yan Liu
wiley   +1 more source

A Box Gradient‐Based Anisotropic Diffusion Framework for Polarimetric SAR Despeckling

Electronics Letters, Volume 62, Issue 1, January/December 2026.
This paper proposes a novel anisotropic diffusion framework for PolSAR despeckling, driven by a newly defined complex‐domain Box gradient. The method adaptively suppresses speckle while preserving structural and point‐target details, and experiments on real AIRSAR data confirm superior performance over existing filters.
Songli Han, Dawei Ren, Jian Yang
wiley   +1 more source

Exploring Polarimetric Properties Preservation for PolSAR Image Reconstruction With Complex‐Valued Convolutional Neural Networks

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
Polarimetric SAR data's inherent complex‐valued nature demands algorithms that work directly with complex representations, yet most deep‐learning approaches sidestep this by converting to the real domain. We implement and evaluate complex‐valued convolutional autoencoders that compress and accurately reconstruct full‐polarimetric SAR signals—preserving
Quentin Gabot, Joana Frontera‐Pons, Jérémy Fix, Chengfang Ren, Jean‐Philippe Ovarlez   +4 more
wiley   +1 more source