Title
Forward Modeling and Atmospheric Compensation in hyperspectral data: Experimental analysis from a target detection perspective
Abstract
Taking into account atmospheric effects is crucial in target detection of airborne/satellite hyperspectral images. In regard to this, two physics-based approaches to atmospheric radiative transfer modeling are considered here: Atmospheric Compensation (AC) and Forward Modeling (FM). An experimental analysis is presented that encompasses target detection both relying upon an atmospherically compensated reflectance image and by generating predicted radiance target spaces through a forward modeling approach. Real hyperspectral imagery that embodies a very challenging, cluttered, mixed pixel detection problem is used to compare AC and FM approaches from an operational target detection perspective. On this data, detection in the radiance domain through FM has proven to be as effective as the standard AC plus reflectance domain processing. Experiments have also highlighted several aspects of FM approach (e.g. its intrinsic simplicity, flexibility, and applicability) that should be considered when performing target detection, especially for targets affected by high variability.
Year
DOI
Venue
2009
10.1109/WHISPERS.2009.5288972
WHISPERS
Keywords
Field
DocType
geophysical signal processing,object detection,airborne hyperspectral images,atmospheric compensation,atmospheric radiative transfer modeling,atmospherically compensated reflectance image,hyperspectral data,hyperspectral imagery,mixed pixel detection problem,radiance target spaces,satellite hyperspectral images,target detection,forward modeling,sub-pixel target detection,physics-based modeling,target space,experimental analysis,radiative transfer model
Object detection,Computer vision,Satellite,Remote sensing,Hyperspectral imaging,Pixel,Artificial intelligence,Reflectivity,Radiative transfer,Radiance,Geophysical signal processing
Conference
ISBN
Citations 
PageRank 
978-1-4244-4687-2
3
0.58
References 
Authors
4
3
Name
Order
Citations
PageRank
Stefania Matteoli115218.05
Emmett J. Ientilucci2204.02
John P. Kerekes319435.38