Multiresolution fusion of radar sounder and altimeter data for the generation of high resolution DEMs of ice sheets

Ana-Maria Ilisei; Lorenzo Bruzzone

doi:10.1117/12.2196395

15 October 2015 Multiresolution fusion of radar sounder and altimeter data for the generation of high resolution DEMs of ice sheets

Ana-Maria Ilisei, Lorenzo Bruzzone

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Proceedings Volume 9643, Image and Signal Processing for Remote Sensing XXI; 96430X (2015) https://doi.org/10.1117/12.2196395
Event: SPIE Remote Sensing, 2015, Toulouse, France

Abstract

Understanding the dynamics and processes of the ice sheets is crucial for predicting the behavior of climate change. A potential approach to achieve this is by using high resolution (HR) digital elevation models (DEMs) of the ice surface derived from remote sensing radar or laser altimeters. Unfortunately, at present HR DEMs of large portions of the ice sheets are not available. To address this issue, in this paper we propose a multisensor data fusion technique for the generation of a HR DEM of the ice sheets, which fuses two types of data, i.e., radargrams acquired by radar sounder (RS) instruments and ice surface elevation data measured by altimeter (ALT) instruments. The aim of the technique is to generate a DEM of the ice surface at the best possible horizontal resolution by exploiting the complementary characteristics of the RS and ALT data. This is done by defining a novel processing scheme that involves image processing techniques based on data rescaling, geostatistical interpolation and multiresolution analysis (MRA). The method has been applied to a subset of RS and ALT data acquired over a portion of the Byrd Glacier in Antarctica. Experimental results confirm the effectiveness of the proposed method.

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Ana-Maria Ilisei and Lorenzo Bruzzone "Multiresolution fusion of radar sounder and altimeter data for the generation of high resolution DEMs of ice sheets", Proc. SPIE 9643, Image and Signal Processing for Remote Sensing XXI, 96430X (15 October 2015); https://doi.org/10.1117/12.2196395

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KEYWORDS

Remote sensing

Data fusion

Radar

Data acquisition

Data modeling

Error analysis

Statistical analysis

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