Title :
Urban land use mapping with multi-spectral and SAR satellite data using neural networks
Author :
Heikkonen, Jukka ; Kanellopoulos, Ioannis ; Varfis, Aristide ; Steel, Alan ; Fullerton, Karen
Author_Institution :
Lab. of Comput. Eng., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
Statistical, textural and Gabor features were extracted from integrated multitemporal multispectral TM data and ERS-1 SAR imagery for urban land use mapping. The computed features are first normalised using the SOM algorithm and then a decision tree algorithm is applied for feature selection. The classification procedure was carried out with a multilayer perceptron, trained with the resilient backpropagation algorithm. The authors´ results demonstrate the potential of the proposed methodology
Keywords :
backpropagation; feature extraction; geophysical signal processing; geophysical techniques; geophysics computing; image classification; image sequences; image texture; multilayer perceptrons; radar imaging; remote sensing; remote sensing by radar; sensor fusion; spaceborne radar; synthetic aperture radar; Gabor feature; RES-1; SAR; SOM algorithm; backpropagation; data fusion; decision tree algorithm; feature extraction; feature selection; geophysical measurement technique; image classification; image processing; image texture; land surface; multilayer perceptron; multispectral imaging; multitemporal data; neural net; neural network; optical imaging; radar remote sensing; sensor fusion; spaceborne radar; terrain mapping; urban land use; Data mining; Feature extraction; Filtering; Multilayer perceptrons; Neural networks; Remote sensing; Satellites; Space technology; Synthetic aperture radar; Urban areas;
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
DOI :
10.1109/IGARSS.1997.609012
