Scattered Data Interpolation for Remote Sensing Applications
Erik Ringaby, Ola Friman, Per-Erik ForssénSSBA13
Proceedings of SSBA 2013 IAPR
March 2013
Abstract
In this paper we address the problem of accurate and efficient visualisation of data from a hyperspectral pushbroom sensor. Five different methods are compared on a dataset of irregularly sampled scan lines: nearest neighbour, splatting, natural neighbours, inverse distance weighted interpolation and local kriging. To compare these methods, a hyperspectral dataset acquired with a pushbroom sensor is divided into two parts by subsampling, where one part is used to reconstruct the surface texture on a regular grid, and the other one is used as a ground truth for the evaluation of the reconstruction.
Full Paper
This is a preliminary version of work published in the TIP journal.
Bibtex entry
@InProceedings{ringaby13a, author = {Erik Ringaby and Ola Friman and Per-Erik Forss\'en}, title = {Scattered Data Interpolation for Remote Sensing Applications}, booktitle = {Proceedings of {SSBA} 2013 {IAPR}}, OPTpages = {}, month = {March}, year = {2013}, organization = {{IAPR}}, note = {Non-reviewed workshop}, publisher = {{SSBA}} }
Per-Erik Forssén
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