Tactical and strategic data analysis methods for multispectral imaging data from landed mars missions

James F. Bell

doi:10.1109/IGARSS.2019.8900314

Tactical and strategic data analysis methods for multispectral imaging data from landed mars missions

James F. Bell

Earth and Space Exploration, School of (SESE)

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

This presentation describes the wide variety of both rapid turn-around (tactical) and much longer timescale (strategic) data analysis methods used in the planning and interpretation of data sets acquired from the seven successful (so far) Mars surface landers and rovers that have carried multispectral imaging instruments employing narrowband color filters. Examples of science and operational results enabled by these data analysis methods are discussed, including recent advances in multispectral image analysis using deep learning. Finally, implications for the expected results from several additional surface missions carrying narrowband multispectral imaging investigations and expected to land on Mars in 2021 are also discussed.

Original language	English (US)
Pages	5005-5006
Number of pages	2
DOIs	https://doi.org/10.1109/IGARSS.2019.8900314
State	Published - 2019
Event	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan Duration: Jul 28 2019 → Aug 2 2019

Conference

Conference	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Country/Territory	Japan
City	Yokohama
Period	7/28/19 → 8/2/19

Keywords

Data analysis
Mars
Multispectral imaging
Rovers

ASJC Scopus subject areas

Computer Science Applications
Earth and Planetary Sciences(all)

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10.1109/IGARSS.2019.8900314

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abstract = "This presentation describes the wide variety of both rapid turn-around (tactical) and much longer timescale (strategic) data analysis methods used in the planning and interpretation of data sets acquired from the seven successful (so far) Mars surface landers and rovers that have carried multispectral imaging instruments employing narrowband color filters. Examples of science and operational results enabled by these data analysis methods are discussed, including recent advances in multispectral image analysis using deep learning. Finally, implications for the expected results from several additional surface missions carrying narrowband multispectral imaging investigations and expected to land on Mars in 2021 are also discussed.",

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AB - This presentation describes the wide variety of both rapid turn-around (tactical) and much longer timescale (strategic) data analysis methods used in the planning and interpretation of data sets acquired from the seven successful (so far) Mars surface landers and rovers that have carried multispectral imaging instruments employing narrowband color filters. Examples of science and operational results enabled by these data analysis methods are discussed, including recent advances in multispectral image analysis using deep learning. Finally, implications for the expected results from several additional surface missions carrying narrowband multispectral imaging investigations and expected to land on Mars in 2021 are also discussed.

KW - Data analysis

KW - Mars

KW - Multispectral imaging

KW - Rovers

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T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019

Y2 - 28 July 2019 through 2 August 2019

ER -

Tactical and strategic data analysis methods for multispectral imaging data from landed mars missions

Abstract

Conference

Keywords

ASJC Scopus subject areas

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