Title :
Optimization of multi-channel SAR data classification using genetic algorithms
Author :
Habermeyer, Martin
Author_Institution :
Inst. fur Hochfrequenztech., Deutsche Zentrum fur Luft- und Raumfahrt e.V., Wessling, Germany
Abstract :
The classification of multi-channel SAR data can be divided into several sequential steps, each of which can be performed by different methods working on different parameter sets. In this work a technique is presented in order to optimize the selection of significant data and the following filtering, parameter extraction and classification operations on the data
Keywords :
digital filters; feature extraction; genetic algorithms; geophysical signal processing; image classification; radar imaging; remote sensing by radar; synthetic aperture radar; classification; filtering; genetic algorithms; multi-channel SAR data classification; parameter extraction; parameter sets; sequential steps; Adaptive algorithm; Bayesian methods; Data mining; Genetic algorithms; Information filtering; Information filters; Optimization methods; Parameter extraction; Probability; Stress;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location :
Hamburg
Print_ISBN :
0-7803-5207-6
DOI :
10.1109/IGARSS.1999.773421
