Abstract
The use of airborne scanners involves geo-referencing problems, which are difficult because of the need to know the exact platform position and attitude for each scan line. The errors of the onboard navigation system are normally corrected using ground control point on the image. This post-processing correction procedure is too long in case of multiple flight campaigns, and besides it implies the need to have available 1:10000 orthophotoimages or maps in digital format. To optimize the above procedure a new method to correct MIVIS navigational data in the post-processing phase has been implemented. The procedure takes into consideration the GPS stream in Rinex format of common knowledge and findable on the web, acquired at the ground stations of the Geodetic Data Archiving Facilities provided by ASI. The application of this correction entails the assumption that the environmental variables affecting both onboard and geodetic GPS equally affect the position measurements. The airborne data correction was carried out merging the two data sets (onboard and ground station GPS) to achieve a more precise aircraft trajectory. The present study compares the geo-coded images obtained by means of the two post-processing methods.
Highlights
Sensed imagery is often integrated with geo-coded data deriving from other sensors and cartographic information, the integration process forces us to make images geometrically consistent with the chosen reference (Lechi, 1999).Hyperspectral sensors, based on the whiskbroom concept, are operated both from spaceborne and airborne platforms
As Multispectral Infrared and Visible Imaging Spectrometer (MIVIS) Position Attitude System (PAS) does not employ a differential GPD (DGPS) technology, data were pseudo-differentiated by means of a post-processing phase with the use of measurements recorded at a fixed station of a national network, supported by ASI within the GeoDAF project
In the test area of Passo Corese the geo-coding accuracy improved by about 20% using the Global Positioning System (GPS) measures of the INGR station within the GeoDAF Project
Summary
Sensed imagery is often integrated with geo-coded data deriving from other sensors and cartographic information, the integration process forces us to make images geometrically consistent with the chosen reference (Lechi, 1999). Hyperspectral sensors, based on the whiskbroom concept, are operated both from spaceborne and airborne platforms. The latter are more operationally flexible and often adjustable to special needs (Nieuwenhuis, 1993). Dealing with spaceborne imagery is easy because of a stable flight path, attitude and smaller scales of images. In this case geometric correction can be achieved by means of two-dimensional polynomial functions. The geometric correction of image data can be achieved if the sensor’s position and attitude can be measured with high precision using an Inertial Navigation System (INS) in combination with a Global Positioning System (GPS) receiver (Lithopoulos, 1999). As MIVIS PAS does not employ a differential GPD (DGPS) technology, data were pseudo-differentiated by means of a post-processing phase with the use of measurements recorded at a fixed station of a national network, supported by ASI within the GeoDAF project
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