Abstract
This paper reviews current research on the usage of artificial intelligence in remote sensing and related sub-fields. Various knowledge-based systems have been built for processing images in the fields of robotics, natural language interface, computer vision and geographic information systems. Problems being considered by the remote sensing community at present are: taxonomies of terms of LANDSAT MSS image analysis, knowledge bases for contingency analysis, and the identification of rules for specific applications. Among the applications, the following have been developed: (1) land cover analysis (including forest clear-cut monitoring and vegetation change detection); (2) map-assisted photointerpretation; (3) image segmentation; (4) hyperspectral image analysis; (5) cartographic feature extraction; (6) analysis of geological structures; and (7) structural analysis of complex aerial photographs. Considerations are made on the advantages in the new approaches and of the difficulties in the application of artificial intelligence.
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© 1988 D. Reidel Publishing Company, Dordrecht, Holland
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Fabbri, A.G., Fung, K.B., Yatabe, S.M. (1988). The Usage of Artificial Intelligence in Remote Sensing: A Review of Applications and Current Research. In: Chung, C.F., Fabbri, A.G., Sinding-Larsen, R. (eds) Quantitative Analysis of Mineral and Energy Resources. NATO ASI Series, vol 223. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4029-1_28
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DOI: https://doi.org/10.1007/978-94-009-4029-1_28
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