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盐田水体遥感分类方法研究   总被引:3,自引:1,他引:3  
以连云港台北盐场为研究区,介绍了监督分类法和神经网络分类法及其在盐田水体遥感分类中的具体应用。研究结果表明,用神经网络分类法进行遥感影像自动分类,其分类精度高,显示了其在遥感领域较为广阔的应用前景。  相似文献   
2.
The purpose of this study is to investigate the quality and usage possibility of groundwater in the Çavuşçayı basin and suggest the best water structure for the groundwater use. Results from hydrochemical analyses reveal that groundwater is mostly affected by salty (Na+–Cl) waters of the Incik Formation and brackish (Ca2+, Mg2+–SO 4 2− ) waters of the Bayındır Formation. The Alibaba saltpan discharged (2 l/s) from the Incik Formation is used for salt production. In the basin, salinity risk increases with depth and along the groundwater flow direction. Therefore, shallow water and trenches opened in the alluvium aquifer at the east of the basin were determined to yield suitable water with no Na+ and Cl contamination. Following the heavy rainy period, waters of less salinity and conductivity are possibly used for agriculture.  相似文献   
3.
通过塘沽盐场遥感图像的模式识别,对该盐场的盐田水体类别进行了监督分类,其成果将为塘沽盐场的开发管理、产量估算及资源调查等提供重要依据。  相似文献   
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