dc.contributor.author | Sanders, Lee | en_US |
dc.contributor.author | Schott, John | en_US |
dc.contributor.author | Raqueno, Rolando | en_US |
dc.date.accessioned | 2007-07-05T14:08:32Z | en_US |
dc.date.available | 2007-07-05T14:08:32Z | en_US |
dc.date.issued | 2001-12 | en_US |
dc.identifier.citation | Remote Sensing of Environment 78N3 (2001) 252-263 | en_US |
dc.identifier.issn | 0034-4257 | en_US |
dc.identifier.uri | http://hdl.handle.net/1850/4232 | en_US |
dc.description | RIT community members may access full-text via RIT Libraries licensed databases: http://library.rit.edu/databases/ | |
dc.description.abstract | Radiometrically calibrated hyperspectral imagery contains information relating to the material properties of a surface target and the
atmospheric layers between the surface target and the sensor. All atmospheric layers contain well-mixed molecular gases, aerosol particles, and
water vapor, and information about these constituents may be extracted from hyperspectral imagery by using specially designed algorithms.
This research describes a total sensor radiance-to-ground reflectance inversion program. An equivalent surface-pressure depth can be extracted
using the Non-Linear Least-Squares Spectral Fit (NLLSSF) technique on the 760-nm oxygen band. Two different methods, the Atmospheric
Pre-Corrected Differential Absorption (APDA) and NLLSSF, can be used to derive total columnar water vapor using the radiative transfer
model MODTRAN 4.0. Atmospheric visibility can be derived via the NLLSSF technique from the 400–700-nm bands or using an approach
that uses the upwelled radiance fit from the Regression Intersection Method from 550 to 700 nm. A new numerical approximation technique is
also introduced to calculate the effect of the target surround on the sensor-received radiance. The recovered spectral reflectances for each
technique are compared to reflectance panels with well-characterized ground truth. | en_US |
dc.description.sponsorship | n/a | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Elsevier Science B.V., Amsterdam | en_US |
dc.relation.ispartofseries | vol. 78 | en_US |
dc.relation.ispartofseries | no. 3 | en_US |
dc.subject | Aerosols | en_US |
dc.subject | Atmospheric correction | en_US |
dc.subject | APDA | en_US |
dc.subject | Hyperspectral | en_US |
dc.subject | Inversion | en_US |
dc.subject | NLLSSF | en_US |
dc.subject | Reflectance | en_US |
dc.subject | Scattering phase function | en_US |
dc.subject | Visibility | en_US |
dc.title | A VNIR/SWIR atmospheric correction algorithm for hyperspectral imagery with adjacency effect | en_US |
dc.type | Article | en_US |
dc.identifier.url | http://dx.doi.org/10.1016/S0034-4257(01)00219-X | |