Atmospheric correction of remote sensing image analysis and selection

Along with the rapid development of quantitative remote sensing technique, especially the needs of using sensors and remote sensing data for land use ,soil change and global resources environment monitoring analysis of climate change, make the monitoring of remote sensing image to the study of atmospheric correction method is more and more attention. The atmosphere correction of remote sensing image has been the focus of quantitative research of remote sensing, also is a difficult point. There are many Atmospheric correction methods of remote sensing images. According to the results, they can be divided into the absolute calibration and the relative calibration. At present, the atmospheric correction methods contain radiative transfer mod el method, dark picture elemen t method, constant target method and atmospheric impedance vegetation index method of eight methods, It is a key that how to choose a high efficiency and high quality of remote sensing image atmosphere correction method .Through the analysis of the advantages and disadvantages of various methods, and their use scope, the setting time parameters and the effect of parameters excellent-choosing model, we can make an excellent selection of calibration methods. Through the analysis of the advantages and disadvantages of various methods, and their use scope, the setting time parameters and the effect of parameters excellent-choosing model, we can make an excellent selection of calibration methods. Copyright © (2009) by the Asian Association on Remote Sensing.