The Eigenvector-Eigenvalue Identity Applied to Fast Calculation of polSAR Scattering Characterization

Autor: Allan Nielsen

Publikováno v: Nielsen, A A 2022, ' The eigenvector-eigenvalue identity applied to fast calculation of polSAR scattering characterization ', IEEE Geoscience and Remote Sensing Letters, vol. 19, 4507305, pp. 1-5 . https://doi.org/10.1109/LGRS.2022.3169994

Unlike the original Cloude-van Zyl decomposition of reflection symmetric polSAR data, a recently suggested version of the decomposition for full/quad pol data relies on the Cloude-Pottier mean alpha angle (ᾱ) to characterize the scattering mechanis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::115659d70f4b5e6d9ae4761cfc4b7364
https://doi.org/10.1109/lgrs.2022.3169994

Interpolation of AMSR2 data for improvement of ice charting

Autor: Allan Nielsen, David Malmgren-Hansen, Leif Toudal Pedersen, Roberto Saldo, Henning Skriver, John Lavelle, Jørgen Buus-Hinkler, Matilde Brandt Kreiner

Publikováno v: Nielsen, A A, Malmgren-Hansen, D, Toudal Pedersen, L, Saldo, R, Skriver, H, Lavelle, J, Buus-Hinkler, J & Brandt Kreiner, M 2019, ' Interpolation of AMSR2 data for improvement of ice charting ', 2019 SPIE Remote Sensing Conference, Strasbourg, France, 09/09/2019-12/09/2019 .
Technical University of Denmark Orbit

Today, ice charts in Greenland waters are produced manually by the Danish Meteorological Institute (DMI) for selected regions depending on season and shipping routes. The project “Automated Downstream Sea Ice Products for Greenland Waters” or sho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2f3a794d1794a0a0c532baa09f3d530f
https://orbit.dtu.dk/en/publications/e7567b4f-574e-4f61-bc22-e895f734c855

Site Monitoring with Sentinel-1 Dual Polarization SAR Imagery Using Google Earth Engine

Autor: Joshua Rutkowski, Canty, Morton J., Allan Nielsen

Publikováno v: Rutkowski, J, Canty, M J & Nielsen, A A 2018, ' Site Monitoring with Sentinel-1 Dual Polarization SAR Imagery Using Google Earth Engine ', Journal of Nuclear Materials Management, vol. 46, no. 3, pp. 48-59 .
Technical University of Denmark Orbit

At no cost to the user, the Copernicus mission frequently releases Synthetic Aperture Radar (SAR) datasets collected by the Sentinel-1 sensors. These datasets are regularly pre-processed by the Google Earth Engine and made available to the scientific

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ba4faaa6484f737e370aa74c2894ef07
https://orbit.dtu.dk/en/publications/35d9dcaf-cbf8-4528-b795-0eee579521a8

Change detection in a time series of polarimetric SAR images

Autor: Henning Skriver, Allan Nielsen, Knut Conradsen

Publikováno v: Skriver, H, Nielsen, A A & Conradsen, K 2015, ' Change detection in a time series of polarimetric SAR images ', POLinSAR 2015-1st BIOMASS Science workshop, Frascati, Italy, 26/01/2015-30/01/2015 .
Technical University of Denmark Orbit

A test statistic for the equality of two or several variance-covariance matrices following the real (as opposed to the complex) Wishart distribution with an associated probability of finding a smaller value of the test statistic is described in the l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::23820ee0b5c808494cf8a3ecf1e4bfd8
https://orbit.dtu.dk/en/publications/3bb7916a-ecfd-47ae-a953-1592282a577f

Sea level reconstruction: Exploration of methods for combining altimetry with other data to beyond the 20-year altimetric record

Autor: Peter Limkilde Svendsen, Ole Baltazar Andersen, Allan Nielsen

Publikováno v: Svendsen, P L, Andersen, O B & Nielsen, A A 2012, Sea level reconstruction: Exploration of methods for combining altimetry with other data to beyond the 20-year altimetric record . in 20 years of progress in radar altimetry symposium : Abstract book . European Space Agency, Italy, pp. 149, 20 years of Progress in Radar Altimetry, Venice-Lido, Italy, 24/09/2012 .
Technical University of Denmark Orbit

Ocean satellite altimetry has provided global sets of sea level data for the last two decades, allowing determination of spatial patterns in global sea level. For reconstructions going back further than this period, tide gauge data can be used as a p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3bec626b65188bda863f0fa5ef8c35b6
https://orbit.dtu.dk/en/publications/fe3842b2-c8f7-4952-9c31-152809618e72