## Mathematics in Remote Sensing: Based on the Proceedings of a Conference on Mathematics and Its Application in Remote Sensing Held at Danbury, Essex in May 1986This volume presents an up-to-date survey of the mathematical techniques of use in the generation of data and extraction of information from satellite observation. It presents a state-of-the-art account of what is possible with today's mathematical tools and offers a perspective on the capabilities of future remote sensing systems. |

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### Contents

Problems in passive remote sensing of the Earths land | 17 |

Errors and uncertainties in feature recognition by | 37 |

The dynamics of Braggscattering waves on the sea surface | 57 |

Copyright | |

7 other sections not shown

### Common terms and phrases

algorithms amplitude analysis angle application approximation assimilation assumed assumption backscatter binary relations classification coherent complex component computer vision considered contextual correlation function defined detection digital image distribution Doppler effect equation error estimate example field Figure filter Fourier transform frequency Gaussian Geographic Information Systems given graph gravity waves greyscale Hough Transform identify IEEE Trans image processing integral intensity inverse labelling Landsat lattice linear Longuet-Higgins mathematical measurements method noise normalised observations ocean operator parameters Pattern Recognition pixels point spread function polygons problem properties radar Radon space Radon transform random reconstruction region relation remote sensing repeatability metric resampling rough surface sample values SAR image satellite scattering scene sea surface SEASAT segments sensor short waves shows simulation space spatial speckle spectral spectrum specular statistics structure techniques tesseral texture theoretical theory tile vector wavelength wavenumber z-transform zeros