Atmospheric Correction of Hyper-spectral Imagery:Evaluation of the FLAASH Algorithm with AVRIS Data

With its combination of good spatial and spectral resolution, visible to near infrared spectral imaging from aircraft or spacecraft is a highly valuable technology for remote sensing of the earth's surface. In practice, it is desirable to eliminate atmospheric effects on the imagery, a process known as atmospheric correction or atmospheric compensation. At present, there are many atmospheric correction software packages for imagery atmospheric correction, such as ATREM(Atmospheric REMoval program), ACORN(Atmospheric CORrection Now) and FLAASH(Fast Line of Sight Atmospheric Analysis of Spectral Hypercubes). In this paper, the latest version of FLAASH atmosphere correction code derives its physics|based algorithm from the MODTRAN4 radiative transfer code was introduced.and some comparisons of with FLAASH|processed AVIRIS data, including results obtained using different processing options were showed. A preliminary evaluation to FLAASH algorithm was done in this paper and the result showed that the new automated spectral recalibration algorithm, which has been incorporated into FLAASH, is an extremely valuable addition. It improve the quality of the output reflectance cube for measured radiance data containing wavelength calibration errors and it also can be used as a tool to measure varying wavelength shifts in corss|track spatial dimension of an image, such are found in data from the AVIRIS sensor.