Results 61 to 70 of about 11,244,032 (159)

Investigation of the capability of multitemporal RADARSAT-2 fully polarimetric SAR images for land cover classification: a case of Panyu, Guangdong province

European Journal of Remote Sensing, 2021
Synthetic aperture radar (SAR), with all-day and all-weather observation capabilities, can capture the phenology of crops with short growth cycles to improve land cover classification results.
Di Liu, Zhixin Qi, Hui Zhang, Xia Li, Anthony Gar-on Yeh, Jiao Wang   +5 more
doaj   +1 more source

Modelling PolSAR Scattering Signatures at Long Wavelengths of Glacier Ice Volumes [PDF]

, 2012
The crucial role of cryosphere for understanding the global climate change has been widely recognized in recent decades [1]. Glaciers and ice sheets are the main components of the cryosphere and constitute the basic reservoir of fresh water for high ...
Jagdhuber, Thomas, Hajnsek, Irena, Parrella, Giuseppe, Al-Kahachi, Noora, Papathanassiou, Kostantinos   +4 more
core  

Training Sample Selection Based on SAR Images Quality Evaluation With Multi‐Indicators Fusion

IET Signal Processing, Volume 2025, Issue 1, 2025.
In recent years, with the development of artificial neural networks, efficiently training models for synthetic aperture radar (SAR) image classification tasks has garnered significant attention from researchers. Particularly when dealing with datasets containing a large number of redundant samples, the selection of training samples becomes crucial for ...
Pengcheng Wang, Huanyu Liu, Junbao Li, Hasan Mir   +3 more
wiley   +1 more source

Consistency Regularization Semisupervised Learning for PolSAR Image Classification

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
Polarimetric Synthetic Aperture Radar (PolSAR) images have emerged as an important data source for land cover classification research due to their all‐weather, all‐day monitoring capabilities. Deep learning‐based classification methods have recently gained significant attention in PolSAR image classification since they have demonstrated excellent ...
Yu Wang, Shan Jiang, Weijie Li, Mohamadreza (Mohammad) Khosravi   +3 more
wiley   +1 more source

L‐Band InSAR Snow Water Equivalent Retrieval Uncertainty Increases With Forest Cover Fraction

Geophysical Research Letters, Volume 51, Issue 24, 28 December 2024.
Abstract There is a pressing need for global monitoring of snow water equivalent (SWE) at high spatiotemporal resolution, and L‐band (1–2 GHz) interferometric synthetic aperture radar (InSAR) holds promise. However, the technique has not seen extensive evaluation in forests.
R. Bonnell, K. Elder, D. McGrath, H. P. Marshall, B. Starr, N. Adebisi, R. T. Palomaki, Z. Hoppinen   +7 more
wiley   +1 more source

Unsupervised Classification for Polarimetric Synthetic Aperture Radar Images Based on Wishart Mixture Models

Leida xuebao, 2017
Unsupervised classification is a significant step inthe automated interpretation of Polarimetric Synthetic Aperture Radar (PolSAR) images. However, determining the number of clusters in this process is still a challenging problem. To this end, we propose
Zhong Neng, Yang Wen, Yang Xiangli, Guo Wei   +3 more
doaj   +1 more source

An optimised scattering power decomposition method oriented to ship detection in polarimetric synthetic aperture radar imagery

IET Radar, Sonar &Navigation, Volume 18, Issue 12, Page 2642-2656, December 2024.
An optimised scattering power decomposition model is proposed which comprises surface, double‐bounce, oriented dipole and volume scattering components. The authors derive the optimised four‐component decomposition model from mathematical and theoretical perspectives, and verify the rationality of the optimised decomposition model using large amounts of
Lu Fang, Wenxing Mu, Ning Wang, Tao Liu
wiley   +1 more source

Superpixel Segmentation of Polarimetric Synthetic Aperture Radar (SAR) Images Based on Generalized Mean Shift

Remote Sensing, 2018
The mean shift algorithm has been shown to perform well in optical image segmentation. However, the conventional mean shift algorithm performs poorly if it is directly used with Synthetic Aperture Radar (SAR) images due to the large dynamic range and ...
Fengkai Lang, Jie Yang, Shiyong Yan, Fachao Qin   +3 more
doaj   +1 more source

Ground moving target indication of polarimetric interferometric synthetic aperture radar using joint scattering vector

IET Radar, Sonar &Navigation, Volume 18, Issue 12, Page 2681-2697, December 2024.
SAR GMTI is of great importance for both civlisation and military applications. The clutter suppression performance is an important assurance for the accuracy and precision of GMTI. To achieve better clutter suppression performance, it often requires extremely precise registration of multi‐channel data, including polarization and interferometric ...
Jing Xu, Long Cheng, Chunhui Yu, Shiwei Zhang   +3 more
wiley   +1 more source

Orthogonal double V‐linear frequency modulation waveform for simultaneous polarimetric measurement and its non‐linear processing

IET Radar, Sonar &Navigation, Volume 18, Issue 10, Page 1919-1936, October 2024.
The authors propose a novel waveform, namely, the orthogonal double V‐linear frequency modulation (ODV‐LFM) and corresponding simultaneous polarimetric measurement and pointwise linear and non‐linear processing methods. The proposed waveform can mitigate the influence of delay‐Doppler coupling and reduce the risk of false targets and ghosts in multiple‐
Biao Shen, Runzhe Zhang, Ziyuan Yang, Tao Liu   +3 more
wiley   +1 more source