Research On Technologies Of Land Classification Based On Multi-source Remote Sensing Data Fusioin

As a high-tech,RS technology provides a efficient,in-time scientific way to survey the situation of land-use.Remote sensing image fusion of different data sources of the same area can be used to enrich the information about the interested areas.Fused high spatial resolution data and lower spatial,but higher spectral resolution data,can improve image sharpness and enhance feature extraction and visual interpretation,and can be used for object' detection change. In this paper,the part of Tulufan region is the experimental area.The classification method based on fused images and an application in surveying land-use types are discussed. At first, it is emphasized that the selection of optimum time in crop classification.A method of RS image geometric precision correction based on PCI software isdiscussed. And the precision can meet request. Secondly, HIS transformation is used to integrate TM multispectral image and high spatial resolution panchromatic image.Its signal clarity was improved. Thirdly, we use the better classification method to classify the land-use type.this method was produced by integrating unsupervised classification and supervised classification procedures before image interpretation.By taking all measures that may make the accuracy higher within the framework of conventional image classication methods, a result for the upper limit ,65%. Then classification in every small region or the human-computer interaction interpretation is used to improve classification result.The last accuracy of fused remote sensing image can be up to 90%.Therefore,the result of this study turned out that it is feasible to apply this classification method in investigating land-use types. If this method is applied in practice,managing level will greatly improved,and manpower and material resources as well as financial resources will be save, and finally there will be obvious economic and social benefit.