Validating enhanced resolution of microwave sounder imagery through fusion with infrared sensor data

Igor Yanovsky; Yixin Wen; Ali Behrangi; Mathias Schreier; Bjorn Lambrigtsen

doi:10.1109/MICRORAD.2018.8430703

Validating enhanced resolution of microwave sounder imagery through fusion with infrared sensor data

Igor Yanovsky, Yixin Wen, Ali Behrangi, Mathias Schreier, Bjorn Lambrigtsen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we describe and validate a data fusion methodology and apply it to enhance the resolution of a microwave image using the data from a collocated infrared/visible sensor. Such an approach takes advantage of the spatial resolution of the infrared instrument and the sensing accuracy of the microwave instrument. We test our method using a precipitation scene captured with the Advanced Microwave Sounding Unit (AMSU-B) microwave instrument and the Advanced Very High Resolution Radiometer (AVHRR) infrared instrument and compare the results to simultaneous radar observations. We show that the data fusion product is better than the original AMSU-Band AVHRR observations across all statistical indicators.

Original language	English (US)
Title of host publication	15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	86-90
Number of pages	5
ISBN (Print)	9781538650158
DOIs	https://doi.org/10.1109/MICRORAD.2018.8430703
State	Published - Aug 9 2018
Externally published	Yes
Event	15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2018 - Cambridge, United States Duration: Mar 27 2018 → Mar 30 2018

Publication series

Name	15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2018 - Proceedings

Conference

Conference	15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2018
Country/Territory	United States
City	Cambridge
Period	3/27/18 → 3/30/18

Keywords

Data fusion
precipitation
remote sensing
sparse optimization
super-resolution

ASJC Scopus subject areas

Management, Monitoring, Policy and Law
Instrumentation
Signal Processing

Access to Document

10.1109/MICRORAD.2018.8430703

Cite this

Yanovsky, I., Wen, Y., Behrangi, A., Schreier, M., & Lambrigtsen, B. (2018). Validating enhanced resolution of microwave sounder imagery through fusion with infrared sensor data. In 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2018 - Proceedings (pp. 86-90). Article 8430703 (15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MICRORAD.2018.8430703

Validating enhanced resolution of microwave sounder imagery through fusion with infrared sensor data. / Yanovsky, Igor; Wen, Yixin; Behrangi, Ali et al.
15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 86-90 8430703 (15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yanovsky, I, Wen, Y, Behrangi, A, Schreier, M & Lambrigtsen, B 2018, Validating enhanced resolution of microwave sounder imagery through fusion with infrared sensor data. in 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2018 - Proceedings., 8430703, 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 86-90, 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2018, Cambridge, United States, 3/27/18. https://doi.org/10.1109/MICRORAD.2018.8430703

Yanovsky I, Wen Y, Behrangi A, Schreier M, Lambrigtsen B. Validating enhanced resolution of microwave sounder imagery through fusion with infrared sensor data. In 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 86-90. 8430703. (15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2018 - Proceedings). doi: 10.1109/MICRORAD.2018.8430703

Yanovsky, Igor ; Wen, Yixin ; Behrangi, Ali et al. / Validating enhanced resolution of microwave sounder imagery through fusion with infrared sensor data. 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 86-90 (15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2018 - Proceedings).

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abstract = "In this paper, we describe and validate a data fusion methodology and apply it to enhance the resolution of a microwave image using the data from a collocated infrared/visible sensor. Such an approach takes advantage of the spatial resolution of the infrared instrument and the sensing accuracy of the microwave instrument. We test our method using a precipitation scene captured with the Advanced Microwave Sounding Unit (AMSU-B) microwave instrument and the Advanced Very High Resolution Radiometer (AVHRR) infrared instrument and compare the results to simultaneous radar observations. We show that the data fusion product is better than the original AMSU-Band AVHRR observations across all statistical indicators.",

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N1 - Funding Information: The research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. IY also acknowledges support from the National Science Foundation Grant DMS 1217239. Publisher Copyright: © 2018 IEEE.

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N2 - In this paper, we describe and validate a data fusion methodology and apply it to enhance the resolution of a microwave image using the data from a collocated infrared/visible sensor. Such an approach takes advantage of the spatial resolution of the infrared instrument and the sensing accuracy of the microwave instrument. We test our method using a precipitation scene captured with the Advanced Microwave Sounding Unit (AMSU-B) microwave instrument and the Advanced Very High Resolution Radiometer (AVHRR) infrared instrument and compare the results to simultaneous radar observations. We show that the data fusion product is better than the original AMSU-Band AVHRR observations across all statistical indicators.

AB - In this paper, we describe and validate a data fusion methodology and apply it to enhance the resolution of a microwave image using the data from a collocated infrared/visible sensor. Such an approach takes advantage of the spatial resolution of the infrared instrument and the sensing accuracy of the microwave instrument. We test our method using a precipitation scene captured with the Advanced Microwave Sounding Unit (AMSU-B) microwave instrument and the Advanced Very High Resolution Radiometer (AVHRR) infrared instrument and compare the results to simultaneous radar observations. We show that the data fusion product is better than the original AMSU-Band AVHRR observations across all statistical indicators.

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Validating enhanced resolution of microwave sounder imagery through fusion with infrared sensor data

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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