Geometric parameter estimation for agriculture fields

Liu Lu; Fang Luo; Nanno J. Mulder

doi:10.1117/12.196755

30 December 1994 Geometric parameter estimation for agriculture fields

Liu Lu, Fang Luo, Nanno J. Mulder

Proceedings Volume 2315, Image and Signal Processing for Remote Sensing; (1994) https://doi.org/10.1117/12.196755
Event: Satellite Remote Sensing, 1994, Rome, Italy

Abstract

Geometric parameter estimation is a common task in remote sensing image processing. Quite often, it is needed to find out the area and location of a certain kind of crop in a remotely sensed image. If we take a parcel of a uniform crop type in a remote sensing image as an object, the task is to determine the orientation, location, and scale of the object. In this paper, we propose a model based method for parameter estimation in which the radiometric distribution obtained by radar simulation is used as a global feature of an object to characterize its spectral properties. A cost function is defined as a quantitative evaluation for the hypothesis of object parameters in terms of its feature fitting and the minimum cost corresponds to the best parameters of the object with the least misclassified pixels. The feature matching is completed through cost minimization. Experiments show that this method is quite efficient especially in the cases of bad signal to noise ratios.

Citation Download Citation

Liu Lu, Fang Luo, and Nanno J. Mulder "Geometric parameter estimation for agriculture fields", Proc. SPIE 2315, Image and Signal Processing for Remote Sensing, (30 December 1994); https://doi.org/10.1117/12.196755

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