Abstract
In order to produce validated, and therefore reliable, products based on hyperspectral imagery, it is necessary to first characterise the data quality itself. Since hyperspectral airborne imagery is usually acquired in several partially overlapping flight-lines [1], one can use this informationredundancy to retrieve the imagery uncertainty. In this paper, a generic algorithm, the corresponding pixel automated matcher (CPAM) allowing to extract pixels from two overlapping flight-lines corresponding to the same geo-location is proposed. In a second time, these results are used to obtain a quantification of the imagery internal variability as well as for producing quality indicators for land-products.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
