Degradation of Aerosols through Mathematical Modeling Algorithm to Improve the Utility of Remote Sensing Data

摘要

In this paper, we investigated the correction of the scattering effect of aerosol particles to improve the image quality and the accuracy of interpretation and classification from cloud-free LANDSAT Thematic Mapper (TM) surface data. A mathematical model was derived to eliminate the scattering effect per pixel area. An algorithm in C++ has been developed with iterations to derive the aerosol size distribution and to remove the scattering effect. The results of aerosol degradation show significant improvement of the image quality and the classification accuracy. The misclassified off-diagonal pixels were minimized in the accuracy assessment error matrices. The overall accuracy of the supervised and unsupervised classification is improved (between 15% and 25%). The Z-score shows significant difference between the corrected data and the raw data (between 4.0 and 11.91) by employing KHAT statistics evaluation.