With the advance of remote sensing in observation engineering, high multispectral and spatial resolution of remote sensing imagery such as Landsat Thematic Mapper, Spot, Ikonos, Worldview, Seastar, and GeoEye metaphors were attained by distinct types of sensors and strong-minded in topographically allied monitoring, planning, mining and understanding information. To improve the superiority of the fused images, researchers anticipate image fusion schemes in fusing panchromatic and multispectral images. This book emphases on the optimized fusion of high resolution panchromatic and low-resolution multispectral images using particle swarm optimization of convolutional neural network in categorizing bucolic and farming region.