Title :
Restoring Aqua MODIS band 6 by other spectral bands using compressed sensing theory
Author :
Xinghua Li ; Huanfeng Shen ; Chao Zeng ; Penghai Wu
Author_Institution :
Sch. of Resource & Environ. Sci., Wuhan Univ., Wuhan, China
Abstract :
The Aqua satellite launched in May 2002 is a key one in the Earth Observation System (EOS) mission of NASA. In the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor aboard the Aqua, 15 of all the 20 detectors in the band 6 are out of working. Therewith missing data exists. It is very significant to find the way to reconstruct its incomplete data efficiently. This paper proposes an approach to retrieve the missing data by the newborn Compressed Sensing (CS) theory, which can account for not only the large-area inpainting, but also the spatial autocorrelation property and the complementarity relationship among spectral bands. The experimental results validate that the proposed algorithm performs well compared with the state-of-art methods.
Keywords :
Earth; artificial satellites; compressed sensing; image resolution; Aqua MODIS band 6; Aqua satellite; EOS mission; Earth observation system; NASA; compressed sensing theory; moderate resolution imaging spectroradiometer; spectral bands; Abstracts; Educational institutions; Geoscience; MODIS; Manganese; Aqua; MODIS; compressed sensing; dictionary learning; inpainting;
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2012 4th Workshop on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-3405-8
DOI :
10.1109/WHISPERS.2012.6874269