| Title | Processing EO-1 Hyperion data using ISDAS |
| Download | Downloads |
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| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Hitchcock, R; White, H P |
| Source | Geomatics Canada, Technical Note 2, 2007, 30 pages, https://doi.org/10.4095/224267  Open Access |
| Image |  |
| Year | 2007 |
| Publisher | Natural Resources Canada |
| Document | serial |
| Lang. | English |
| Media | on-line; digital |
| File format | pdf |
| Subjects | geophysics; remote sensing; spectral analyses; satellite imagery; reflectance |
| Illustrations | graphs; diagrams; satellite images; tables; flow charts; screen captures |
| Released | 2007 09 01 |
| Abstract | With increased global interest and development of hyperspectral spaceborne and airborne sensors, high spectral and spatial Earth observation data will become more readily available. With this
improvement in spectral and spatial resolution comes the need to have more rigorous image preprocessing. Spectral and spatial registration and radiometric response need to be characterized and applied more frequently, possibly on a scene-by-scene
basis, depending on the stability of the sensor. This requires a system that can evaluate a data set and determine parameters efficiently and independently.
A preprocessing procedure to transform at-sensor signals to at-surface reflectance
for Earth observation hyperspectral imagery has been developed at the Canada Centre for Remote Sensing, Natural Resources Canada (CCRS, NRCan). This process examines an image cube for bad pixels (stripes) and noise levels, determines spectral (smile
effect) and spatial (keystone) registration per pixel, as well as evaluating the image cube for optimal signal gain and offset, and applies relevant corrections. Where applicable, a scene-based (vicarious) calibration procedure can also be applied.
This procedure has been implemented in the Imaging Spectrometer Data Analysis System (ISDAS) developed at CCRS. The following document outlines how to apply the detection and correction algorithms to derived at-surface reflectance from
at-sensor radiance, using an EO-1 Hyperion image acquisition as an example data source. |
| GEOSCAN ID | 224267 |
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