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Proceedings Paper

Production of large area LST products of HJ-1B IRS based on a fusion framework
Author(s): Changmiao Hu; Ping Tang
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Paper Abstract

In this paper, image fusion algorithm are used to improve the quality of HJ-1 B IRS LST products. The HJ-1 B IRS LST data with multi temporal are transformed to the similar temporal based on a fusion framework, and the MODIS LST products are used as reference data. There are two research core: 1) How to simplify the fusion model to obtain more robustness data production result; 2)How to deal with the cloud and cloud shadow region. A algorithm process for HJ-1 B LST products is proposed, and a specific experiment showed the application prospect of the algorithm process.

Paper Details

Date Published: 8 November 2014
PDF: 7 pages
Proc. SPIE 9260, Land Surface Remote Sensing II, 926011 (8 November 2014); doi: 10.1117/12.2068937
Show Author Affiliations
Changmiao Hu, Institute of Remote Sensing and Digital Earth (China)
Ping Tang, Institute of Remote Sensing and Digital Earth (China)

Published in SPIE Proceedings Vol. 9260:
Land Surface Remote Sensing II
Thomas J. Jackson; Jing Ming Chen; Peng Gong; Shunlin Liang, Editor(s)

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