Results 91 to 100 of about 19,525 (263)
EURASIP Journal on Advances in Signal Processing, 2010 The classification of polarimetric SAR image based on Multiple-Component Scattering Model (MCSM) and Support Vector Machine (SVM) is presented in this paper. MCSM is a potential decomposition method for a general condition.
Zhang Lamei +3 more
doaj +2 more sources
Development of a ground-based polarimetric broadband SAR system for noninvasive ground-truth validation in vegetation monitoring [PDF]
, 2004 Copyright © 2004 IEEEWe have developed a ground-based polarimetric broadband synthetic aperture radar (SAR) system for noninvasive ground-truth validation in polarimetric SAR remote sensing of terrestrial vegetation cover.
Boerner, Wolfgang-Martin +2 more
core +2 more sources
Remote Sensing for Monitoring Macroplastics in Rivers: A Review
WIREs Water, Volume 12, Issue 2, March/April 2025.Panoramic of remote sensing platforms for monitoring plastics in riverine environments. Platform elevation is directly related to image spatial resolution; see the example of a plastic bottle captured from Unmanned Aerial Systems (UASs). Letters stand for drone (D) and satellite (S) platforms: (Sa) Sentinel‐2; (Sb) Sentinel‐1 SAR; (Sc) Pleiades ...
Ashenafi Tadesse Marye +9 more
wiley +1 more source
Landslide detection in mountainous forest areas using polarimetry and interferometric coherence
Earth, Planets and Space, 2020 The cloud-free, wide-swath, day-and-night observation capability of synthetic aperture radar (SAR) has an important role in rapid landslide monitoring to reduce economic and human losses.
Masato Ohki +3 more
doaj +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 1, March 2025.Abstract Complex nonlinear relationships exist between the permafrost thermal state, active layer thickness, and terrestrial carbon cycle dynamics. In Arctic and boreal Alaska, significant uncertainties characterize the spatiotemporal rate and magnitude of permafrost degradation and the permafrost carbon feedback, with increasing recognition of the ...
B. A. Gay +5 more
wiley +1 more source
Ocean Oil Spill Classification with RADARSAT-2 SAR Based on an Optimized Wavelet Neural Network
Remote Sensing, 2017 Oil spill accidents from ship or oil platform cause damage to marine and coastal environment and ecosystems. To monitor such spill events from space, fully polarimetric (Pol-SAR) synthetic aperture radar (SAR) has been greatly used in improving oil spill
Dongmei Song +4 more
doaj +1 more source
Identification of optimal Sentinel-1 SAR polarimetric parameters for forest monitoring in Czechia
Acta Universitatis Carolinae GeographicaTime series analysis of synthetic aperture radar data (SAR) offers a systematic, dynamic and comprehensive way to monitor forests. The main emphasis of this study is on the identification of the most suitable and best performing Sentinel-1 SAR ...
Daniel Paluba +3 more
doaj +1 more source
Quantifying Temporal Decorrelation over Boreal Forest at L- and P-band [PDF]
, 2008 Temporal decorrelation is probably the most critical factor towards a successful implementation of Pol-InSAR parameter inversion techniques in terms of repeat-pass InSAR scenarios. In this paper the effect and impact of temporal decorrelation at L- and P-
Hajnsek, Irena +3 more
core
IEEE Access, 2018 Numerous radar polarimetry theories and polarimetric synthetic aperture radar (PolSAR) processing methods have been developed. However, the vast majority of SAR images are not fully polarimetric (full-pol).
Qian Song, Feng Xu, Ya-Qiu Jin
doaj +1 more source
Perceptually Optimal Color Representation of Fully Polarimetric SAR Imagery. [PDF]
J Imaging, 2022 Koukiou G.
europepmc +1 more source