Software page of Petri P.M. Koistinen

Smoothers for Multi-Source Forest Inventory implemented in Matlab

These smoothers relate to the article

• Petri Koistinen, Lasse Holmström and Erkki Tomppo, Smoothing Methodology for Predicting Regional Averages in Multi-Source Forest Inventory. Remote Sensing of Environment, 112(3): 862-871, 2008. doi:10.1016/j.rse.2007.06.019

Matlab files implementing LLR, LLRR and k-NN:

LLR
llrev.m, llrcvev.m, llrssev.m.
LLRR
llrrev.m, llrrcvev.m, llrrssev.m.
k-NN
knnev.m, knncvev.m, knnssev.m.
demo
demo.m.

Notes:

• Notes on the implementation of LLR and LLRR.
• How to use these programs.
• For K-means clustering, we used code from the Netlab toolbox.