Feature extraction for multisource data classification with artificial neural networks

Rannsóknarafurð: Framlag til fræðitímaritsGreinritrýni

94 Tilvitnanir (Scopus)

Útdráttur

Classification of multisource remote sensing and geographic data by neural networks is discussed with respect to feature extraction. Several feature extraction methods are reviewed, including principal component analysis, discriminant analysis, and the recently proposed decision boundary feature extraction method. The feature extraction methods are then applied in experiments in conjunction with classification by multilayer neural networks. The decision boundary feature extraction method shows excellent performance in the experiments.

Upprunalegt tungumálEnska
Síður (frá-til)727-740
Síðufjöldi14
FræðitímaritInternational Journal of Remote Sensing
Bindi18
Númer tölublaðs4
DOI
ÚtgáfustaðaÚtgefið - mar. 1997

Fingerprint

Sökktu þér í rannsóknarefni „Feature extraction for multisource data classification with artificial neural networks“. Saman myndar þetta einstakt fingrafar.

Vitna í þetta