File(s) under permanent embargo
Field sampling from a segmented image.
conference contribution
posted on 2023-05-26, 09:30 authored by Debba, P, van der Meer, FD, Carranza, JM, Arko LucieerArko LucieerThis paper presents a statistical method for deriving the optimal prospective field sampling scheme on a remote sensing image to represent different categories in the field. The iterated conditional modes algorithm (ICM) is used for segmentation followed by simulated annealing within each category. Derived field sampling points are more intense in heterogenous segments. This method is applied to airborne hyperspectral data from an agricultural field. The optimized sampling scheme shows superiority to simple random sampling and rectangular grid sampling in estimating common vegetation indices and is thus more representative of the whole study area.
History
Publication title
Computational Science and Its Applications (ICCSA 2008)Volume
5072Pagination
756-768ISSN
0302-9743Publication status
- Published
Event title
The 2008 International Conference on Computational Science and Its Applications (ICCSA 2008)Event Venue
Perugia, ItalyDate of Event (Start Date)
2008-06-30Date of Event (End Date)
2008-07-03Repository Status
- Restricted
Usage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC