Research And Applications Of Remote Sensing Radiometric Correction

Radiometric correction of satellite remote sensing data is essential for quantitative remote sensing technology. In the process of solar radiation transmission, because of atmospheric interference, information that the sensor received is not only the land surface information, but also atmospheric interference information, so the same land surface features in different images show different spectral scene information.In some practical applications such as image mosaic, dynamic monitoring and quantitative research, the actual ground information is needed removing atmospheric interference information, that is atmospheric radiation correction. the analysis and comparison of the existing common several radiometric correction model can get advantages and disadvantages of each model and find the class which each model is applicable to. Based on the application of simple and high precision 6S atmospheric radiative transfer theory model, this model is furtherly improved in order to increase the accuracy of the model correction.6S atmospheric radiative transfer theory model is model of high accuracy, but the main atmosphere input parameters is difficult to obtain, there have been several standard atmospheric model, using standard atmospheric models instead of the local atmospheric models are bound to be inaccurate, This article uses three methods to inverse water vapor from MODIS image; through comparison and analysis of three methods, the three-channel approach is more suitable for water vapor inversion in Fuzhou; for aerosols, using a mainly common dark pixel inversion method; Atmospheric parameters which are synchronized with data are bringed to the 6S model to get atmosphere correction coefficients in order to improve the accuracy of the model. In addition, this paper uses the correlation model between surface height and atmospheric correction coefficients to obtain pixel-based atmospheric correction coefficients, thereby achieving precise pixel-based radiometric correction. By comparing the results of various corrections, the improved method of calibration is more accurate.