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- W2897953671 abstract "Soil salinization1 is one of the major land degradation problems, which result in a serious threat to agricultural production and ecological environment. How to monitor soil salinization is of great significance to the management of saline-alkali soil. Saline-alkali soil is estimated quantificationally at regional scale using fully-polarimetric SAR. Based on the monitoring data of saline-alkali soil SAR in study area, the four-polarization data in Radarsat-2 image was analyzed, and entropy, anti-entropy, and average scattering angle were extracted to characterize the scattering mechanism. Based on H/a plane space, combined with Wishart unsupervised classification method, the type of observed scattering media is estimated from the physical interpretation of basic scattering mechanism, and the soil salinization information in the study area is extracted. The classification accuracy obtained by using the Wishart classification is compared with the traditional classification algorithm. It is found that the fully polarized SAR image has an irreplaceable advantage in the information extraction of saline-alkali land." @default.
- W2897953671 created "2018-10-26" @default.
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- W2897953671 date "2018-10-22" @default.
- W2897953671 modified "2023-09-23" @default.
- W2897953671 title "Information Extraction of Saline-alkali Soil in the West of Jilin Province Based on Fully Polarimetric SAR-a Case Study in Qian An County" @default.
- W2897953671 cites W1519745894 @default.
- W2897953671 doi "https://doi.org/10.1145/3207677.3278099" @default.
- W2897953671 hasPublicationYear "2018" @default.
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