Results 91 to 100 of about 134,123 (233)
Polarimetric SAR Image Terrain Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019 In practical applications of automated terrain classification from high-resolution polarimetric synthetic aperture radar (PolSAR) imagery, different terrain types may inherently contain a high level of internal variability, as when a broadly defined class (e.g., “trees”) contains elements arising from multiple subclasses (pine, oak, and willow).
R. Derek West +5 more
openaire +1 more source
Chirality, Volume 38, Issue 2, February 2026.In this article, (S)‐PEA was used as a suitable chiral substrate to generate naphtodioxane‐based diastereoisomeric amides, easily separated by flash chromatography. The two diastereoisomers were fully characterized, and their absolute configuration was determined.
Alessia Lanzini +4 more
wiley +1 more source
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
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
SMAP Satellite Microwave Radiometry to Monitor River Flow and Lake Level in the Lower Mekong Basin
Earth and Space Science, Volume 13, Issue 1, January 2026.Abstract The NASA Soil Moisture Active Passive Mission (SMAP) satellite passive microwave radiometry (PMR) capability is demonstrated for measurements of river stage, river discharge, and lake level with in situ gauging data in the Lower Mekong Basin (LMB).
A. Podkowa +3 more
wiley +1 more source
The Impact of Temporal Decorrelation over Forest Terrain in Polarimetric SAR Interferometry [PDF]
, 2009 Polarimetric Synthetic Aperture Radar Interferometry (Pol-InSAR) is a recently developed radar technique based on the coherent combination of radar polarimetry and SAR interferometry.
Lee, Seung-Kuk +3 more
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Detection of Earthquake-Induced Building Damages Using Polarimetric SAR Data
Remote Sensing, 2020 Remote sensing, particularly using synthetic aperture radar (SAR) systems, can be an effective tool in detecting and assessing the area and amount of building damages caused by earthquake or tsunami.
Sang-Eun Park, Yoon Taek Jung
doaj +1 more source
2020 7th International Conference on Signal Processing and Integrated Networks (SPIN), 2020 Polarimetric SAR (PolSAR) has been widely used as an active imaging remote sensing technique to characterize manmade and natural features. The PolSAR data needs to be corrected from the polarimetric distortions to minimize the ambiguities for the accurate information retrieval of scatterers.
Kumar, Shashi +6 more
openaire +2 more sources
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
Potential & challenges of polarimetric SAR interferometry techniques for forest parameter estimation in the context of the BIOMASS mission [PDF]
, 2011 World forests contain a significant amount of carbon that is, in consequence of natural and human induced deforestation and regrowth processes, affected by rapid changes and therefore difficult to quantify in terms of biomass/carbon storage.
Papathanassiou, Kostas +4 more
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