Experiences from operational cloud classifier based on self-organizing map

Ari J. E. Visa; K. Valkealahti; Jukka Iivarinen; O. Simula

doi:10.1117/12.169997

2 March 1994 Experiences from operational cloud classifier based on self-organizing map

Ari J. E. Visa, K. Valkealahti, Jukka Iivarinen, O. Simula

Proceedings Volume 2243, Applications of Artificial Neural Networks V; (1994) https://doi.org/10.1117/12.169997
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

A new operational system to interpret satellite images is represented. The described method is adaptive. It is trained by examples. In the reported application a combination of textural and spectral measures is used as a feature vector. The adaptation or learning of the extracted feature vectors occurs by a self-organizing process. As a result a topological feature map is generated. The map is identified by known samples, examples of clouds. The map is used later on as a code book for cloud classification. The obtained verification results are good. The represented method is general in the sense that by reselecting features it can be applied to new problems.

Citation Download Citation

Ari J. E. Visa, K. Valkealahti, Jukka Iivarinen, and O. Simula "Experiences from operational cloud classifier based on self-organizing map", Proc. SPIE 2243, Applications of Artificial Neural Networks V, (2 March 1994); https://doi.org/10.1117/12.169997

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