New method for correction of bidirectional effects in hyperspectral images

A new method to correct hyperspectral line scanner image data in airborne remote sensing for bidirectional reflectance effects is presented. Those effects prevent a precise intra- and intercomparison of image scenes and affect spectral ratios. The method bases on the linear semiempirical Ambrals model (Algorithm for MODIS Bidirectional Reflectance Anisotropy of the Land Surface, Lucht 2000). The samples for the inversion of the model are retrieved from the column averages which are calculated either over all pixels or separately over the pixels of each class of a spectral classification. The preclassification is supposed to lower the standard deviation within each column means in order to account for the different angular dependence for each surface. The data from a single scene is sufficient to perform an inversion. The application of this method to different sensor types is straightforward. As an example, images from the DAISEX'99 campaign in Barrax, taken with the wide-FOV hyperspectral sensor HyMap from different flight directions and times of the day, are modeled and corrected.

[1]  Mark Chopping,et al.  Large-Scale BRDF Retrieval over New Mexico with a Multiangular NOAA AVHRR Dataset , 2000 .

[2]  Warren B. Cohen,et al.  Empirical methods to compensate for a view-angle-dependent brightness gradient in AVIRIS imagery☆ , 1997 .

[3]  A. Strahler,et al.  On the derivation of kernels for kernel‐driven models of bidirectional reflectance , 1995 .

[4]  Wolfgang Lucht,et al.  Theoretical noise sensitivity of BRDF and albedo retrieval from the EOS-MODIS and MISR sensors with respect to angular sampling , 2000 .

[5]  Michael J. Barnsley,et al.  Global retrieval of bidirectional reflectance and albedo over land , 1997 .

[6]  Rudolf Richter,et al.  Atmospheric correction of DAIS hyperspectral image data , 1996, Defense + Commercial Sensing.

[7]  Alan H. Strahler,et al.  An algorithm for the retrieval of albedo from space using semiempirical BRDF models , 2000, IEEE Trans. Geosci. Remote. Sens..

[8]  R. Richter,et al.  A unified approach to parametric geocoding and atmospheric/topographic correction for wide field-of-view airborne imagery Part 2: atmospheric / topographic correction , 2022 .

[9]  Alan H. Strahler,et al.  Using a multikernel least-variance approach to retrieve and evaluate albedo from limited bidirectional measurements , 2001 .

[10]  U. Beisl,et al.  VALIDATION OF HYPERSPECTRAL IMAGING DATA FROM THE BARRAX TEST SITE WITH BRDF GROUND MEASUREMENTS IN THE REFLECTIVE WAVELENGTH RANGE , 2000 .

[11]  Daniel Schläpfer,et al.  A UNIFIED APPROACH TO PARAMETRIC GEOCODING AND ATMOSPHERIC/TOPOGRAPHIC CORRECTION FOR WIDE FOV AIRBORNE IMAGERY PART 1 : PARAMETRIC ORTHO-RECTIFICATION PROCESS , 2000 .

[12]  F. Bonn,et al.  Evaluation and correction of viewing angle effects on satellite measurements of bidirectional reflectance , 1985 .

[13]  G. Campbell,et al.  Simple equation to approximate the bidirectional reflectance from vegetative canopies and bare soil surfaces. , 1985, Applied optics.

[14]  Alan H. Strahler,et al.  Validation of Kernel-Driven Semiempirical Models for the Surface Bidirectional Reflectance Distribution Function of Land Surfaces , 1997 .