ATMOSPHERIC CORRECTION OF HYPERSPECTRAL REMOTE SENSING IMAGE BASED ON FLAASH
Chengming Ye
Abstract
Chengming Ye
Abstract
The electromagnetic wave received by the sensor have the atmospheric absorption and scattering effect on image.Hyperspectral remote sensing images contain high resolution spectral informations.In order to extract hyperspectral remote sensing information more accurately,the atmospheric correction is essential.In the application of data from Hyperion with a lower SNR,it is important to correct the atmospheric effect on surface reflectance computation.This paper uses FLAASH to make the Atmospheric Correction of Hyperion images,analyzed the different spectral features before or after correction,compared with the standard database and get a desirable result of the case study.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The electromagnetic wave received by the sensor have the atmospheric absorption and scattering effect on image.Hyperspectral remote sensing images contain high resolution spectral informations.In order to extract hyperspectral remote sensing information more accurately,the atmospheric correction is essential.In the application of data from Hyperion with a lower SNR,it is important to correct the atmospheric effect on surface reflectance computation.This paper uses FLAASH to make the Atmospheric Correction of Hyperion images,analyzed the different spectral features before or after correction,compared with the standard database and get a desirable result of the case study.
Key concepts: Hyperspectral imaging, Remote sensing, Atmospheric correction, Environmental science, Full spectral imaging, Computation, Computer science, Spectral resolution