Neurocomputing for Earth Observation — Recent Developments and Future Challenges

Graeme G. Wilkinson
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Graeme G. Wilkinson: Joint Research Centre

Chapter 15 in Recent Developments in Spatial Analysis, 1997, pp 289-305 from Springer

Abstract: Abstract Earth observation, or satellite remote sensing, is now well-established as one of the principle methods of obtaining spatial information concerning the terrestrial environment. Its primary advantages over ground-based survey approaches are timeliness, spatial coverage, and low cost, though these advantages are often bought at the expense of descriptive precision. However, the enormous wealth of timely and low cost information, coupled with the need to generate high precision spatial products descriptive of landscapes poses some of the most challenging computational problems in geographical science -both in terms of data throughput and complexity of analysis. Neurocomputing is one tool that has recently made a significant and growing contribution to this discipline.

Keywords: Neural Network; Land Cover; Remote Sensing; Land Cover Mapping; Projection Pursuit (search for similar items in EconPapers)
Date: 1997
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DOI: 10.1007/978-3-662-03499-6_15

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