@inproceedings{8b35df0092eb432ab77306919dc98f8f,
title = "Fusion of microwave and infrared data for enhancing its spatial resolution",
abstract = "The images acquired by microwave sensors are blurry and of low-resolution. On the other hand, the images obtained using infrared/visible sensors are of sufficiently high-resolution. In this paper, we develop a data fusion methodology and apply it to enhance 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 tested our method using precipitation scenes captured with the Advanced Microwave Sounding Unit (AMSU) microwave instrument and the Advanced Very High Resolution Radiometer (AVHRR).",
keywords = "Data fusion, inverse problems, microwave imaging, remote sensing, sparse optimization, spatial resolution, super-resolution",
author = "Igor Yanovsky and Ali Behrangi and Mathias Schreier and Van Dang and Berry Wen and Bjorn Lambrigtsen",
note = "Funding Information: This work was supported by the National Aeronautics and Space Administration (NASA), Weather Research program. The work of I. Yanovsky was also supported by the National Science Foundation under Grant DMS 1217239. The research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Publisher Copyright: {\textcopyright} 2017 IEEE.; 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 ; Conference date: 23-07-2017 Through 28-07-2017",
year = "2017",
month = dec,
day = "1",
doi = "10.1109/IGARSS.2017.8127533",
language = "English (US)",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2625--2628",
booktitle = "2017 IEEE International Geoscience and Remote Sensing Symposium",
}