5. CONCLUSIONS AND FUTURE WORK
{"Image DocumentName": "5. CONCLUSIONS AND FUTURE WORK", "Image ImageDescription": "This paper confers the analysis of image fusion methods and the quantitative evaluation using the parameters like mean, standard deviation, correlation coefficient, entropy, the average gradients and so on. Image fusion analysis with the panchromatic image and multispectral images in the same satellite system of Landsat ETM+, as different types of sensors have different data types, it should be more complex in the process of fusion and the evaluation. It was ascertained that the SFIM image fusion method has better performance than other methods. The study can be extended further by implementing object-oriented classification methods to produce more accurate results than the existing traditional pixel based techniques of unsupervised and supervised classification.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}