نتایج جستجو برای: e asar

تعداد نتایج: 1017481  

Journal: :IEEE Transactions on Geoscience and Remote Sensing 2011

Journal: :Frontiers in Environmental Science 2022

A stack of images is a prerequisite for the multi-temporal interferometric synthetic aperture radar (MT-InSAR) due to wrapped nature phase. Although SBAS technique can relieve requirement amount SAR data, dozens acquisitions could be regarded as minimum requirement. However, limitation imaging capability spaceborne system, available data acquired from only one sensor often not enough satisfy ph...

Journal: :ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2012

2007
Attilio Gambardella Ferdinando Nunziata Maurizio Migliaccio

In this study, the capability of the phase difference standard deviation value (σφc) to distinguish among different dark features over marine polarimetric SAR images is investigated. The σφc, evaluated between the co-polarized terms of the scattering matrix, needs only HH and VV data and can be applied also on dualpolarized SAR sensors such as the ASAR operated on board of the ENVISAT satellite...

2018
Askarbek Orakov Nazgul Sakenova Igor Goryanin Anatoly A. Sorokin

The functional and taxonomic analysis is the critical step in understanding the interspecies interaction within the microbial communities. Currently, these types of analysis are run independently, which makes interpretation of the results hard and error-prone. Here we present ASAR (Advanced metagenomic Sequence Analysis in R) Database, the interactive tool and the databases for storage and expl...

2007
Anthony Doulgeris Richard Hall Torbjørn Eltoft Stein Tronstad

In this paper we apply scale mixture of Gaussian models to model ASAR AP data. The study has two objectives. First: Are multivariate scale mixture of Gaussian models adequate for describing the statistics of AP data over open sea and sea ice? Second: Does the new parameterbased feature set produced by the statistical modelling allow us to discriminate between sea and ice, and possibly between d...

2004
Stefan Kern Martin Gade

Sea ice type classification based on active microwave remote sensing can be improved using multi-frequency, multi-polarization data. We present results of a first analysis of such data acquired by the helicopterborne multi-frequency (five different frequency bands), multi-polarization (all likeand cross polarizations) scatterometer HELISCAT during ARK XIX/1 around Svalbard. HELISCAT C band data...

Journal: :IEEE Transactions on Geoscience and Remote Sensing 2007

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