Estimation of stands parameters from IKONOS satellite images using textural features (CROSBI ID 581542)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Klobucar, Damir ; Subašic, Marko ; Pernar, Renata
engleski
Estimation of stands parameters from IKONOS satellite images using textural features
We present our research on artificial neural network application in remote sensing analysis of forest management data. The presented research is part of our ongoing investigation of texture analysis application on estimation of stand parameters for the forestry needs. In our investigation we have used IKONOS (PAN 1m x 1m) satellite image. We have used two groups of texture features. The first group is based on first and second order histograms and the second group is based on Fourier transform. We have experimented separately with each feature set and also with both of them combined. We tried radial basis neural networks and multilayer perceptrons with different sets of parameters. Optimal network parameters were calculated and we report results of those optimal neural networks. The stand parameters we were estimating include number of trees, stocking, basal area and volume. Each of the parameters is estimated with its own neural network. Separate estimations are done for VI (121 -140 yrs) and VII (141 – 160 yrs) age class. The experiments have confirmed good estimation accuracy and good correlation with target values.
artificial neural network; IKONOS satellite images; stands parameters; textural features
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
491-496.
2011.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis
Lončarić, S. ; Ramponi, G. ; Seršić, D.
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu
978-953-184-159-7
1845-5921
Podaci o skupu
7th International Symposium on Image and Signal Processing and Analysis (ISPA 2011)
predavanje
04.10.2011-06.10.2011
Dubrovnik, Hrvatska