Geometric processing of hyperspectral image data acquired by VIFIS on board light aircraft
- 1 January 2003
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 24 (23) , 4681-4698
- https://doi.org/10.1080/0143116031000084305
Abstract
The Variable-Interference-Filter Imaging Spectrometer (VIFIS) is an airborne imaging system. Unlike usual airborne spectrometers, the image acquisition of VIFIS is based on 2D sensors with its pixel spatially registered to different passing wavelengths. The correction of perturbations upon the VIFIS platform, required by the hyperspectral image generation, relies solely on the information extracted from the 2D pushbroom image flow. In this paper, we present an analysis of the distortions of the pushbroom scan caused by perturbations upon the platform. Hyperspectral image generation algorithms and band registration methods are also discussed. A practical pre-processing approach is developed to automatically track the displacements and generate up to 64 hyperspectral bands. Finally, a pre-processing example is presented as a demonstration of the overall methodology.Keywords
This publication has 7 references indexed in Scilit:
- The use of the VIFIS (variable interference filter imaging spectrometer) to obtain information on vegetation properties using multiangular dataRemote Sensing Reviews, 2000
- An approach to the spectral and radiometric calibration of the VIFIS systemInternational Journal of Remote Sensing, 1999
- Shallow water bathymetry using integrated airborne multi-spectral remote sensingInternational Journal of Remote Sensing, 1999
- Survey of Spaceborne Missions and SensorsPublished by Springer Nature ,1996
- Geometric correction of airborne scanner imagery by matching Delaunay trianglesInternational Journal of Remote Sensing, 1990
- Geometric correction of remotely-sensed imagery usiing ground control points and orthogonal polynomialsInternational Journal of Remote Sensing, 1988
- Imaging Spectrometry for Earth Remote SensingScience, 1985