The merge information method for multifrequency systems of remote sensing of the Earth
Рубрика:
| 1Sytnik, OV, 1Efimov, VB, 1Tsymbal, VN, 1Kabanov, AV 1A.I. Kalmykov Center for Radio Physical Sensing, NAS of Ukraine and National Space Agency of Ukraine, Kharkiv, Ukraine |
| Kosm. nauka tehnol. 2007, 13 ;(Supplement1):067-070 |
| https://doi.org/10.15407/knit2007.01s.067 |
| Язык публикации: Russian |
Аннотация: The merge information method for two-frequency radar earth surface remote sensing is considered. The method is based on the Hough transform property of radio contrast inverse invariance. The analysis of radio images is carried out in the space of spectrums of parameters on the basis of statistically optimal algorithms. The algorithm of identification of the spatially-distributed objects at two-frequency sounding consists in forming the SAR images by each radar, quantization of these images and obtaining spectrums of parameters for all multitude of objects corresponding to each of the binary images, and then in calculating estimations of spectrums of parameters for every type of objects satisfying the minimum of the middle Bayes risk. The application of the algorithm under consideration for identification of cracks in ices on the radar images of two-frequency radar remote sensing showed the possibility to identify the sought-for objects with a probability not below 0.95 at direct and inversed radar contrasts over 10 dB.
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| Ключевые слова: invariance, radio images, remote sensing |
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