1. Li J, Huang H L, Liu C Y, et al. Retrieval of cloud microphysical properties from MODIS and AIRS. Journal of Applied Meteorology, 2005, 44(10): 1526-1543
2. Liu L M, Wen X F, Dong X Y, et al. A new prompt algorithm for removing bowtie effect of MODIS L1B data. Proceedings of the Congress on Image and Signal Processing (CISP’08), May 27-30, 2008, Sanya, China. Piscataway, NJ, USA: IEEE, 2008: 663-667
3. Fu B T, Wang C, Zhang Q W. Parallel algorithm of geometrical correction for MODIS data based on triangulation network. Proceedings of the 2005 International Geosciences and Remote Sensing Symposium (IGARSS’05), Jul 25-29, 2005, Seoul, Korea. Piscataway, NJ, USA: IEEE, 2005: 25-29
5. Guo G M. Eliminating bowtie effect of MODIS data without ephemeris. Remote Sensing Technology and Application, 2003, 18(3): 172-175(in Chinese)
6. Du P, Liu C, Ma L. An analytical non-ephemeris algorithm for MODIS bowtie removal. Image and Signal Processing for Remote Sensing X. Proceedings of SPIE, Vol 6673, Aug 29-30, 2007, San Diego, CA, USA. 2004: 396-406
7. Liu L M, Wen X F, Yu F, et al. The approach on removing the bowtie effect in MODIS L1B images. Remote Sensing for Land and Resource, 2007, 19(2): 10-15 (in Chinese)
8. Gomez-Landesa E, Rango A, Bleiweiss M. An algorithm to address the MODIS bowtie effect. Canadian Journal of Remote Sensing, 2004, 30(4): 644-650
9. Xu M, Yu F. The method of eliminating the bowtie effect in the EOS/MODIS 1B data. Scientia Meteorologica Sinica, 2005, 25(3): 257-264 (in Chinese)
10. Shu Y M, Liu Y X, Duan Z Y, et al. A fast preprocessing algorithm for massive MODIS 1B data. Geoinformatics 2007: Remotely Sensed Data and Information. Proceedings of the 15th International Conference on Geoinformatics, May 26-28, 2007, Nanjing, China. SPIE 6752. 2007: 67520X1-67520X10 |