P-spline smoothing for spatial data collected worldwide

Autor: Elisa Castelli, Fedele Pasquale Greco, Massimo Ventrucci

Publikováno v: Spatial statistics Online 27 (2018): 1–17. doi:10.1016/j.spasta.2018.08.008
info:cnr-pdr/source/autori:Greco F.; Ventrucci M.; Castelli E./titolo:P-spline smoothing for spatial data collected worldwide/doi:10.1016%2Fj.spasta.2018.08.008/rivista:Spatial statistics Online/anno:2018/pagina_da:1/pagina_a:17/intervallo_pagine:1–17/volume:27

Spatial data collected worldwide from a huge number of locations is frequently used in environmental and climate studies. Spatial modelling for this type of data presents both methodological and computational challenges. In this work we illustrate a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88c0323e97f930231e443e387bed0c6e
https://doi.org/10.1016/j.spasta.2018.08.008

Sea Target Detection Using Spaceborne GNSS-R Delay-Doppler Maps: Theory and Experimental Proof of Concept Using TDS-1 Data

Autor: Daniele Riccio, Alessio Di Simone, Hyuk Park, Adriano Camps

Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
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Universitat Politècnica de Catalunya (UPC)

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dec7fb26abf21eb050e2faf34d9244a
https://doi.org/10.1109/jstars.2017.2705350

Sensitivity analysis of a scattering-based nonlocal means Despeckling Algorithm

Autor: Alessio Di Simone, Antonio Iodice, Daniele Riccio, Gerardo Di Martino

Publikováno v: European Journal of Remote Sensing, Vol 50, Iss 1, Pp 87-97 (2017)

Synthetic Aperture Radar (SAR) images are greatly affected by the speckle noise. In order to improve SAR data readability by human interpreters and information extraction performed by computer programs, a despeckling preprocessing step is mandatory.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a0494209e7b8a2fe28791adf715e49c
https://doi.org/10.1080/22797254.2017.1274153

Urban Areas Enhancement in Multitemporal SAR RGB Images Using Adaptive Coherence Window and Texture Information

Autor: Donato Amitrano, Antonio Iodice, Gerardo Di Martino, Veronica Belfiore, Francesca Cecinati, Daniele Riccio, Davod Poreh, Stefano Medagli, Giuseppe Ruello, Pierre-Philippe Mathieu

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9:3740-3752

In this paper, we present a technique for improving the representation of built-up features in model-based multitemporal synthetic aperture radar (SAR) RGB composites. The proposed technique exploits the multitemporal adaptive processing (MAP3) frame

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::209e0754b33f67ed20a93eb255c76867
https://doi.org/10.1109/jstars.2016.2555340

Evaluation of Remotely Sensed Soil Moisture for Landslide Hazard Assessment

Autor: Lu Zhuo, Qiang Dai, Ningsheng Chen, Dawei Han, Binru Zhao, Matteo Berti

Soil moisture is important in the triggering of many types of landslides. However, in situ soil moisture data are rarely available in hazardous zones. The advanced remote sensing technology could provide useful soil moisture information. In this stud

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0546785254139341c166f07727e1c11d
http://hdl.handle.net/11585/675888