This paper presents the results of an intercomparison study of data fusion methods. Three data fusion techniques, based respectively on the Daubechies wavelet basis method, the IHS transform, and the Principle Component Analysis (PCA), are compared with each other. According to the data set we used in this study, the Daubechies Wavelet Basis method is far more efficient than the PCA and the IHS transform, It thus establishes the advantages for data fusion, formally called multiple resolution analysis. This method is the best among the three for image sharpening and for maintaining the information of the original data. We conclude with the result from this study that the Daubechies Wavelet Basis method has the largest
application potential for merging the spatial and spectral characteristics of multiple resolution remote sensing data with high
efficiency.
On the basis of the image database and vector database of the Keriya Oasis, the paper primarily studies the changes of the land cover of the oasis of Keriya during the last decade using remote sensing data and geographic information systems. In contrast to the data of the latest three years’ fieldwork, the environmental changes and the desertification degree of the study area have been analyzed. The results are relevant to the sustainable development of the west arid area.
Through "3S" techniques, the study has analyzed the quantitative, qualitative and spatial changes of the Keriya oasis land cover from 1989 to 1999. In contrast to the data of the past years’ fieldwork, the environmental change and the desertification degree of this study area for nearly 10 years have been analyzed, and the precaution line on the environmental evolution of the oasis has been extracted.
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