Results 21 to 30 of about 2,421 (185)

Permafrost Dynamics Observatory (PDO): 2. Joint Retrieval of Permafrost Active Layer Thickness and Soil Moisture From L‐Band InSAR and P‐Band PolSAR

Earth and Space Science, Volume 10, Issue 1, January 2023., 2023
Abstract Seasonal subsidence induced by ground ice melt can be measured by interferometric synthetic aperture radar (InSAR) techniques to infer active layer thickness (ALT) in permafrost regions. The magnitude of subsidence depends on both how deep the soil thawed and how much ice/water content existed in the active layer soil.
Richard H. Chen, Roger J. Michaelides, Yuhuan Zhao, Lingcao Huang, Elizabeth Wig, Taylor D. Sullivan, Andrew D. Parsekian, Howard A. Zebker, Mahta Moghaddam, Kevin M. Schaefer   +9 more
wiley   +1 more source

Optical images-based edge detection in Synthetic Aperture Radar images [PDF]

, 2015
We address the issue of adapting optical images-based edge detection techniques for use in Polarimetric Synthetic Aperture Radar (PolSAR) imagery. We modify the gravitational edge detection technique (inspired by the Law of Universal Gravity) proposed by
Barrenechea, Edurne, Bustince, Humberto, Frery, Alejandro C., Junior, Gilberto P. Silva, Marco-Detchart, Cédric, Sandri, Sandra   +5 more
core   +2 more sources

Polarimetric SAR image classification using binary coding‐based polarimetric‐morphological features

IET Image Processing, Volume 16, Issue 14, Page 3715-3736, 11 December 2022., 2022
Abstract Polarimetric synthetic aperture radar (POLSAR) systems provide high resolution images containing polarimetric information. So, they have high capability in land cover classification. In this work, a binary coding‐based polarimetric‐morphological (BCPM) feature extraction is proposed for POLSAR image classification.
Maryam Imani
wiley   +1 more source

A deep-neural-network-based hybrid method for semi-supervised classification of polarimetric SAR data [PDF]

, 2019
This paper proposes a deep-neural-network-based semi-supervised method for polarimetric synthetic aperture radar (PolSAR) data classification. The proposed method focuses on achieving a well-trained deep neural network (DNN) when the amount of the ...
Huang, Shaoguang, Li, Heng-Chao, Liao, Wenzhi, Liu, Chi, Philips, Wilfried   +4 more
core   +1 more source

On the Ability of PolSAR Measurements to Discriminate Among Mangrove Species

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
In this article, apolarimetric synthetic aperture radar (PolSAR) feature is analyzed to discriminate among different mangrove species. This feature, which is related to the Wishart distance, maximizes the contrast among mangrove species optimizing the ...
Emanuele Ferrentino, Ferdinando Nunziata, Hongsheng Zhang, Maurizio Migliaccio   +3 more
doaj   +1 more source

Few-Shot PolSAR Ship Detection Based on Polarimetric Features Selection and Improved Contrastive Self-Supervised Learning

Remote Sensing, 2023
Deep learning methods have been widely studied in the field of polarimetric synthetic aperture radar (PolSAR) ship detection over the past few years. However, the backscattering of manmade targets, including ships, is sensitive to the relative geometry ...
Weixing Qiu, Zongxu Pan, Jianwei Yang
doaj   +1 more source

Prototype Theory Based Feature Representation for PolSAR Images

Leida xuebao, 2016
This study presents a new feature representation approach for Polarimetric Synthetic Aperture Radar (PolSAR) image based on prototype theory. First, multiple prototype sets are generated using prototype theory.
Huang Xiaojing, Yang Xiangli, Huang Pingping, Yang Wen   +3 more
doaj   +1 more source

Polarimetric Synthetic Aperture Radar Speckle Filter Based on Joint Similarity Measurement Criterion

Remote Sensing, 2023
Polarimetric Synthetic Aperture Radar (PolSAR) data is inherently characterized by speckle noise, which significantly deteriorates certain aspects of the quality of the PolSAR data processing, including the polarimetric decomposition and target ...
Fanyi Tang, Zhenfang Li, Qingjun Zhang, Zhiyong Suo, Zexi Zhang, Chao Xing, Huancheng Guo   +6 more
doaj   +1 more source

Imaging ionospheric inhomogeneities using spaceborne synthetic aperture radar [PDF]

, 2011
We present a technique and results of 2-D imaging of Faraday rotation and total electron content using spaceborne L band polarimetric synthetic aperture radar (PolSAR).
Chapman, B., Freeman, A., Li, Z., Pi, X., Rosen, P.   +4 more
core   +2 more sources

Study on the simulation of simultaneous full AT-POLINSAR

The Journal of Engineering, 2019
With the maturity of the instantaneous full-polarisation measurement, the instantaneous full-polarimetric system is becoming an important development direction of the polarimetric synthetic aperture radar (POLSAR); however, as an important research ...
Peng Zhang, Penghao Yan, Jialun Yao, Xuan Zhao, Qi Zhang, Tao Liu   +5 more
doaj   +1 more source