基于自适应共振理论的多光谱城市图像分析

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) Pub Date : 2001-07-09 DOI:10.1109/IGARSS.2001.978308

P. Thitimajshima

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引用次数: 0

摘要

利用神经网络方法对城市环境的多光谱图像进行分析和解译。特别指出了采用数据自适应共振理论网络的优点，并进行了评论。作者使用接受浮点数据的ART2结构，这样每个输入都可以得到每个频带的每个像素的灰度值。这种选择是为了尽可能地简化算法。给出了用JERS-1图像进行的实验。

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Analysis of multispectral urban images using adaptive resonance theory

Multispectral images of an urban environment are analyzed and interpreted by means of a neural network approach. In particular, the advantages found by using an adaptive resonance theory network of the data are shown and commented on. The author uses the ART2 structure which accepts floating-point data, so that each input can be for each pixel gray level values at each band. This choice is an attempt to simplify the algorithm as much as possible. Experiments carried out with JERS-1 images are given.

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来源期刊

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)

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