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