Knowledge-based techniques for multi-source classification
作者:
A. SRINIVASAN,
J. A. RICHARDS,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1990)
卷期:
Volume 11,
issue 3
页码: 505-525
ISSN:0143-1161
年代: 1990
DOI:10.1080/01431169008955036
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The value of utilizing multiple data sources for classifying images has long been recognized in remote sensing. However, any attempts to do so have faced enormous problems primarily due to the inadequacy of traditional single source analytical techniques. This paper demonstrates the feasability of using knowledge-based procedures to provide a new scheme for incorporating several sources in the classification process. The two schemes presented (based on numerical and qualitative reasoning) are computationally efficient and have high classification accuracies.
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