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Multitemporal SAR RGB Processing for Sentinel-1 GRD Products: Methodology and Applications

Amitrano, Donato, Guida, Raffaella and Ruello, Giuseppe (2019) Multitemporal SAR RGB Processing for Sentinel-1 GRD Products: Methodology and Applications IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12 (5). pp. 1497-1507.

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Abstract

The Sentinel-1 mission has finally reached its maturity with the launch of the second Sentinel radar. Among the products delivered by the agency, the ground range detected class is raising more and more interest among users due to its reduced computational demand for information extraction and availability on cloud exploitation platforms, like the Google Earth Engine. In this paper, we present a novel multitemporal processing chain, suitable to be applied to Sentinel-1 ground range detected products to obtain RGB images, using a series of single polarization detected images. These products aim at being the equivalent for the recently introduced Level-1 $\alpha$ , exploiting a texture measure instead of the interferometric coherence, to properly render and enhance the presence of built-up areas. The discussion is supported by experiments showing the reliability of this newly introduced class of products in classic synthetic aperture radar applications like image photointerpretation, flood mapping, and long-term urban area monitoring.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Amitrano, Donatod.amitrano@surrey.ac.uk
Guida, RaffaellaR.Guida@surrey.ac.uk
Ruello, Giuseppe
Date : May 2019
Funders : European Space Agency
DOI : 10.1109/JSTARS.2019.2904035
Grant Title : Long term satellite observations for urban areas and water resources monitoring
Copyright Disclaimer : © 2019 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 collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : Archive data; Classification; Flood mapping; Image enhancement; Multitemporal synthetic aperture radar; Sentinel-1; Urban areas; Image color analysis; Synthetic aperture radar; Coherence; Remote sensing; Data visualization Sensors
Depositing User : Clive Harris
Date Deposited : 29 Apr 2019 15:27
Last Modified : 18 Jul 2019 10:40
URI: http://epubs.surrey.ac.uk/id/eprint/851718

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