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Study on Application of Remote Sensing Image in Land Use of Yellow River Delta Based on Neural Network

YU Xiang et al(Shangdong Research Center for Eco-Environmental Science of Yellow River Delta,Binzhou,Shandong 256603)  
The spectral analysis technology and neural network classification method were used in the false color synthesis image made by Landsat TM3,4,5 wave bands to get the type of the yellow river delta land utilization,then the algorithm accuracy was tested by the Gaussian distribution monitoring points to get optimum neural network classification,the types of the yellow river delta and utilization were got by statistics method of GIS.The results indicated that the percentage of land use types in yellow river delta were as follows: arable land 33%,woodland 13%,resident land 5%,waters 27%,saline land 18% and unutilized land 4%,land utilization ratio and land reclamation rate were 51% and 46%,respectively.
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