The Atmospheric Correction for Visible-neainfrared Region of Hj-1 Constellation Data
|School||Henan Polytechnic University|
|Course||Cartography and Geographic Information Systems|
|Keywords||Atmospheric correction Radiative transfer model Dark like element method Environment - 1 satellite|
In September 2008, China has independently developed the Environment One satellite A, B Star (HJ-1A, B) from the Taiyuan Satellite Launch Center successfully launched. So far, the HJ-1 satellite has a large number of available remote sensing image for domestic and foreign industry, played an important role in the construction of China's national economy. However, in the process of remote sensing imagery, satellite acquired insufficiency surface information, but also with the part of the non-surface information. Because electromagnetic radiation signals from a radiation source - target - sensor twice through the Earth's atmosphere, inevitably affected by the influence of absorption and scattering effects of atmospheric constituents. These affect not only reduces the quality of the remote sensing image data, it also hinders the application of remote sensing image based remote sensing, especially the development of quantitative research. Therefore, it is necessary in the remote sensing images used in scientific research on atmospheric correction feature a true reflection of the target information extracted from the mixed-signal sensors. Atmospheric correction of remote sensing images there are many ways, and exactly what kind of method can be more effective, accurate atmospheric correction of HJ-1 remote sensing image, where the purpose of this study. In this paper, the HJ-1 / CCD remote sensing image as the research object, the propagation of electromagnetic radiation as a starting point, the analysis of the Earth's atmosphere on the effects of electromagnetic radiation, atmospheric correction of the general principles and common correction method are described and summarized. And in-depth study of the radiative transfer model-based atmospheric correction and atmospheric correction method based on image features. Finally, with a radiative transfer model (6S) and dark pixel method on two different climate and geographical conditions of the study area atmospheric correction to verify atmospheric correction based on the radiative transfer model and atmospheric correction method based on image features in both the feasibility of applying different surface conditions. The experimental results show that both methods can effectively atmospheric correction the HJ-1/CCD remote sensing image, but there is a difference in the two methods for the correction effect. Through a comparative study with the surface measured reflectance data obtained in the HJ-1 / CCD remote sensing images atmospheric correction for the feature type in the main to the the sandy Gobi and bare soil, the climate arid desert region, should adopt the radiative transfer model law; humid climate, rich and diverse in the southern region of the surface type, should adopt the dark pixel method.