Soil-erosion-state interpretation using pre- and postprocessing of multichannel radar images

Gennady P. Kulemin; Vladimir V. Lukin; Alexander A. Zelensky; Andrei A. Kurekin; Edwin T. Engman

doi:10.1117/12.332744

11 December 1998 Soil-erosion-state interpretation using pre- and postprocessing of multichannel radar images

Gennady P. Kulemin, Vladimir V. Lukin, Alexander A. Zelensky, Andrei A. Kurekin, Edwin T. Engman

Proceedings Volume 3499, Remote Sensing for Agriculture, Ecosystems, and Hydrology; (1998) https://doi.org/10.1117/12.332744
Event: Remote Sensing, 1998, Barcelona, Spain

Abstract

The multistage procedure of multichannel image pre- and post- processing is proposed. It includes nonlinear image-to-image and image-to-topology map superimposing with optimization of transform parameters, image separate and vector filtering for remained error reduction and image enhancement. Then the image preliminary recognition is to be performed for determined homogeneous regions, two possible ways of data interpretation based on the use of radiophysical models or supervised learning neural networks are discussed. It is shown that the proposed procedure provides a satisfactory determination of field lots with different erosion and other useful results.

Citation Download Citation

Gennady P. Kulemin, Vladimir V. Lukin, Alexander A. Zelensky, Andrei A. Kurekin, and Edwin T. Engman "Soil-erosion-state interpretation using pre- and postprocessing of multichannel radar images", Proc. SPIE 3499, Remote Sensing for Agriculture, Ecosystems, and Hydrology, (11 December 1998); https://doi.org/10.1117/12.332744

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