MODIS 1B data preprocessing consists of "bowtie" effect elimination and geometric correction. The paper proposes a fast preprocessing algorithm. First, partition the input image into small sub-images without "bowtie" effect. Secondly, do geometric correction to each sub-image. Finally, mosaic each sub-image in the output coordinate system and eliminate the "bowtie" effect in the process. The proposed algorithm shows both a better geometric performance and faster preprocessing speed. For the massive MODIS 1B data preprocessing, a parallel preprocessing method based on this algorithm above is further proposed. Analysis shows that real-time preprocessing for massive MODIS 1B data can be realized by the parallel algorithm.

Date Published: 8 August 2007
PDF: 10 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67520X (8 August 2007); doi: 10.1117/12.760468

Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information
Weimin Ju; Shuhe Zhao, Editor(s)