Abstract
Because of the coarse spatial resolution of LANDSAT scanner data, the four or five spectral radiance measurements for each pixel contribute more to successful target identification than does the spatial information. On the other hand, the higher spatial resolutions achieved by synthetic aperture radar (SAR) lead to an increased importance of textural features in pattern classification algorithms. Thus, it is not surprising that automated schemes developed for use on LANDSAT data often work very poorly on radar data. Moreover, the coherent speckle, which is characteristic of SAR imagery, precludes pixel by pixel classification unless the data are smoothed considerably.
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© 1978 D. Reidel Publishing Company, Dordrecht, Holland
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Teillet, P.M. (1978). Digital Analysis of Multi-Channel Radar Data at CCRS. In: Lund, T. (eds) Surveillance of Environmental Pollution and Resources by Electromagnetic Waves. NATO Advanced Study Institutes Series, vol 45. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-9897-1_23
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DOI: https://doi.org/10.1007/978-94-009-9897-1_23
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