Results 11 to 20 of about 2,377 (186)

Polarimetric Decomposition and Machine Learning‐Based Classification of L‐ and S‐Band Airborne SAR (LS‐ASAR) Data

Earth and Space Science, Volume 10, Issue 6, June 2023., 2023
Abstract The polarimetric Synthetic Aperture Radar (SAR) data sets have been widely exploited for land use land cover (LULC) classification due to their sensitivity to the structural and dielectric properties of the imaging target. In this study, the potential of fully polarimetric L‐ and S‐band Airborne SAR (LS‐ASAR) data sets were explored for the ...
Shatakshi Verma, Shashi Kumar, Hamish Dsouza   +2 more
wiley   +1 more source

Feature fusion method based on local binary graph for PolSAR image classification

IET Radar, Sonar &Navigation, Volume 17, Issue 6, Page 939-954, June 2023., 2023
We propose a novel supervised version of GCNs named mini‐GCNs, for short. As the name suggests, mini‐GCNs can be trained in mini‐batch fashion, trying to achieve a better and more robust local optimum. To remove the redundant information extracted from the designed CNN and mini‐GCN, a feature fusion method is proposed to achieve better classification ...
Mohammad Ali Sebt, Mohsen Darvishnezhad
wiley   +1 more source

Review of Ship Detection in Polarimetric Synthetic Aperture Imagery

Leida xuebao, 2021
Polarimetric Synthetic Aperture Radar (PolSAR) uses two-dimensional pulse compression to obtain high-resolution images containing polarimetric information.
Tao LIU, Ziyuan YANG, Yanni JIANG, Gui GAO   +3 more
doaj   +1 more source

Low frequency and radar’s physical based features for improvement of convolutional neural networks for PolSAR image classification

Egyptian Journal of Remote Sensing and Space Sciences, 2022
Although various deep neural networks such as convolutional neural networks (CNNs) have been suggested for classification of polarimetric synthetic aperture radar (PolSAR) images, but, they have several deficiencies.
Maryam Imani
doaj   +1 more source

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

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

Visualisation and interpretation of PolSAR data based on polarimetric coherence

The Journal of Engineering, 2019
Polarimetric coherence strongly relates to the target scattering characteristics. Coherences of different second-order statistics show different advantages in target discrimination in specific correspondence to physical scattering mechanism.
Liting Liang, Yunhua Zhang, Yunhua Zhang, Dong Li   +3 more
doaj   +1 more source

Dual-Branch Fusion of Convolutional Neural Network and Graph Convolutional Network for PolSAR Image Classification

Remote Sensing, 2022
Polarimetric synthetic aperture radar (PolSAR) images contain useful information, which can lead to extensive land cover interpretation and a variety of output products.
Ali Radman, Masoud Mahdianpari, Brian Brisco, Bahram Salehi, Fariba Mohammadimanesh   +4 more
doaj   +1 more source

ESTIMATING CANOLA’S BIOPHYSICAL PARAMETERS FROM TEMPORAL, SPECTRAL, AND POLARIMETRIC IMAGERY USING MACHINE LEARNING APPROACHES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
The objective of this study was to investigate the application of multi-temporal optical and polarimetric synthetic aperture radar (PolSAR) Earth observations for crop characterization.
O. Reisi Gahrouei, S. Homayouni, A. Safari   +2 more
doaj   +1 more source

The Importance of Lake Emergent Aquatic Vegetation for Estimating Arctic‐Boreal Methane Emissions

Journal of Geophysical Research: Biogeosciences, Volume 127, Issue 6, June 2022., 2022
Abstract Areas of lakes that support emergent aquatic vegetation emit disproportionately more methane than open water but are under‐represented in upscaled estimates of lake greenhouse gas emissions. These shallow areas are typically less than ∼1.5 m deep and can be detected with synthetic aperture radar (SAR). To assess the importance of lake emergent
Ethan D. Kyzivat, Laurence C. Smith, Fenix Garcia‐Tigreros, Chang Huang, Chao Wang, Theodore Langhorst, Jessica V. Fayne, Merritt E. Harlan, Yuta Ishitsuka, Dongmei Feng, Wayana Dolan, Lincoln H Pitcher, Kimberly P. Wickland, Mark M. Dornblaser, Robert G. Striegl, Tamlin M. Pavelsky, David E. Butman, Colin J. Gleason   +17 more
wiley   +1 more source