A Phase-Gradient-Autofocus Algorithm for the Recovery of MARSIS Subsurface Data
| Autor: | Marco Restano, Roberto Seu, G. Picardi |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
010504 meteorology & atmospheric sciences
Phase distortion Phase (waves) MARSIS Mars Exploration Program Geotechnical Engineering and Engineering Geology 01 natural sciences law.invention Depth sounding law 0103 physical sciences Orbit (dynamics) Chirp Image processing ionospheric electromagnetic propagation phase distortion pulse compression radar Electrical and Electronic Engineering Radar 010303 astronomy & astrophysics Algorithm Geology 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | IEEE Geoscience and Remote Sensing Letters. 13:806-810 |
| ISSN: | 1558-0571 1545-598X |
| Popis: | The Mars Advanced Radar for Subsurface and Ionosphere Sounding (MARSIS) is currently operating, providing information of the subsurface structure of the planet Mars. The transmitted chirp signals pass through the ionosphere, resulting delayed, attenuated, and, in the phase, distorted. MARSIS signals are routinely phase corrected during ground processing by adopting a predefined model based on the Chapman theory. In this letter, phase distortions are compensated by using a phase-gradient-autofocus algorithm, which is capable of correcting distortions of different nature by exploiting their redundancy along the orbit. For the first time, images presenting saturated regions have been recovered. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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