Pregled bibliografske jedinice broj: 17897
Multispectral Classification of Landsat TM Images by Neural Networks
Multispectral Classification of Landsat TM Images by Neural Networks // Proceedings of the 32nd Symposium on Resource and Environmental Monitoring : ISPRS
Budimpešta, Mađarska, 1998. str. 376-380 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 17897 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Multispectral Classification of Landsat TM Images by Neural Networks
Autori
Marčić, Ivica ; Ribarić, Slobodan ; Kušan, Vladimir
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 32nd Symposium on Resource and Environmental Monitoring : ISPRS
/ - , 1998, 376-380
Skup
Symposium on Resource and Environmental Monitoring (32 ; 1998)
Mjesto i datum
Budimpešta, Mađarska, 01.09.1998. - 04.09.1998
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
neural network; back-propagation; classification; multispectral images; remote sensing; Landsat TM
Sažetak
This work presents the results of experiments with the use of artificial neural networks for land cover classification. The goal of this research was to examine the operation of back-propagation neural network and its application in the classification of remotely sensed data. A back-propagation network with one hidden layer is used to classify a Landsat TM image. The results are compared to Gaussian maximum likelihood classifier. We show that neural network is better in performing than the maximum likelihood classifier.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo