A fast preprocessing algorithm for massive MODIS 1B data

Yuanming Shu; Yongxue Liu; Zhengyu Duan; Yu Zhang; Zhenjie Chen

doi:10.1117/12.760468

8 August 2007 A fast preprocessing algorithm for massive MODIS 1B data

Yuanming Shu, Yongxue Liu, Zhengyu Duan, Yu Zhang, Zhenjie Chen

Proceedings Volume 6752, Geoinformatics 2007: Remotely Sensed Data and Information; 67520X (2007) https://doi.org/10.1117/12.760468
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

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.

Citation Download Citation

Yuanming Shu, Yongxue Liu, Zhengyu Duan, Yu Zhang, and Zhenjie Chen "A fast preprocessing algorithm for massive MODIS 1B data", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67520X (8 August 2007); https://doi.org/10.1117/12.760468

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